Quantum robotics is an emerging engineering and scientific research discipline that explores the application of quantum mechanics, quantum computing, quantum algorithms, and related fields to robotics. This work broadly surveys advances in our scientific understanding and engineering of quantum mechanisms and how these developments are expected to impact the technical capability for robots to sense, plan, learn, and act in a dynamic environment. It also discusses the new technological potential that quantum approaches may unlock for sensing and control, especially for exploring and manipulating quantum-scale environments. Finally, the work surveys the state of the art in current implementations, along with their benefits and limitations, and provides a roadmap for the future.
This book assesses whether East Asian higher education is providing research and innovation for growth and delivering its graduates with the skills necessary for productivity in the labor market. It also seeks to determine how higher education systems could be improved in order to deliver these outcomes. It features new data and diagnostic material to better understand labor markets, what skills firms want, and what skills graduates have; shows how countries can become more innovative; and describes in detail the key areas of reform needed for higher education to be a larger engine of East Asian growth. It will be of interest to policymakers, governments, academia, donors, NGOs, students, researchers, and lower- and middle-income countries looking to break the middle-income trap.
**12 Hidden Psychological Biases Working Against Your Career Goals in Your Office** This is not a book about Racial or Gender bias. This is about something more.. 12 Hidden Psychological Biases, right at your workplace, happening right in front of you.. day-in & day-out! Corporates spend millions of dollars every year to train their managers against biases prevalent in their workplaces. But as a new entrant or a mid-senior level employee you cannot simply hope for these trainings to instil a better sense in your colleagues and managers. For the sake of your own careers be aware of all the hidden psychological aspects that may be working against your career goals in office. A Corporate office is full of psychological biases, many not even as prominent or evident as racial or gender bias. Often, we don't even realize that we are a victim of these psychological biases from our managers, until it’s too late. By then, we have either lost out on an interview or have received not-so-great annual performance rating. Awareness is the best cure to navigate through these psychologically complex situations and achieve career success. The 'Theory of Corporate Mind' originates from a well-known psychological concept called 'Theory of Mind'. Theory of Mind defines the basic ability of human brain to understand and mirror others' perspective. Although this ability originates at a very young age, the adult workforce entering the corporate world doesn't seem to be utilizing this cognitive ability to its advantage. Do not underestimate the power of these hidden biases. They may have already costed you a lot in your career. Be Aware!
In Indonesia, the past two decades have been a time of great progress but also massive transformations and abrupt setbacks. In this context, this book reviews the main characteristics of - and trends in - demand for skills in Indonesia. It seeks to document the existence of a possible skills mismatch between employer demands and the available supply, the contribution of the education and training sector to this mismatch, and possible measures to improve the education and training system's responsiveness to what the labor market and the economy need. In today's job market in Indonesia, there appears to be a premium on theoretical and practical knowledge of the job. While skills do not appear to be yet among the most important constraints for the economy, the situation is different for larger more export-oriented manufacturing firms. Subjective assessments of difficulties of matching needs with available skills provide evidence that skills are becoming an issue overall in Indonesia. The widest gaps across professional profiles are for English and computer skills followed by thinking and behavioral skills. Theoretical and practical knowledge of the job are also considered to be weak. There are important gaps in creativity, computing and some technical skills for young workers. English remains the largest gap. Five general skill related priorities can be highlighted for Indonesia. First, the country needs to improve skill measurement to get a fuller understanding of skill needs and gaps. Second, it is urgent for Indonesia to address the still unsatisfactory quality and relevance of its formal education, including higher education. Third, the country needs to set-up multiple pathways for skill development. Fourth, the country needs to develop an integrated approach to tackle skill development for youth. Fifth, Indonesia should also tackle labor market constraints which affect the skill matching process.
The Filipino economy has experienced overall growth over the last 20 years, but the growth of the manufacturing sector has been sluggish, and the country has lost innovation capacity. Regaining momentum will depend on many factors, but skills have a key role to play in supporting the growing service sector, improving the competitiveness of the manufacturing sector, and enhancing the long-term ability of the country to innovate and adapt and assimilate new technologies. 'Skills for the Labor Market in the Philippines' analyzes the functional skills with which workers need to be equipped to be employable and support firms competitiveness and productivity, and evaluates the role of the education and training system in providing these skills. Based on an innovative survey of employers, this book is the most comprehensive attempt thus far to review the skills that matter for the labor market. The book reveals that a dramatic increase in educational attainment occurred in just under two decades in the Philippines. However, in light of the growing demand for skills, the authors also make it clear that there are indications of emerging skills gaps, suggesting that skills are becoming a constraining factor for economic growth. The authors flesh out several policy implications, which should provide a valuable contribution to improving the country s education and training system. The book is primarily intended for the policy makers and researchers who shape the delivery of education and training in the Philippines and other middle-income countries.
Get savvy with OpenCV and actualize cool computer vision applications About This Book Use OpenCV's Python bindings to capture video, manipulate images, and track objects Learn about the different functions of OpenCV and their actual implementations. Develop a series of intermediate to advanced projects using OpenCV and Python Who This Book Is For This learning path is for someone who has a working knowledge of Python and wants to try out OpenCV. This Learning Path will take you from a beginner to an expert in computer vision applications using OpenCV. OpenCV's application are humongous and this Learning Path is the best resource to get yourself acquainted thoroughly with OpenCV. What You Will Learn Install OpenCV and related software such as Python, NumPy, SciPy, OpenNI, and SensorKinect - all on Windows, Mac or Ubuntu Apply "curves" and other color transformations to simulate the look of old photos, movies, or video games Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image Recognize hand gestures in real time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor Reconstruct a 3D real-world scene from 2D camera motion and common camera reprojection techniques Detect and recognize street signs using a cascade classifier and support vector machines (SVMs) Identify emotional expressions in human faces using convolutional neural networks (CNNs) and SVMs Strengthen your OpenCV2 skills and learn how to use new OpenCV3 features In Detail OpenCV is a state-of-art computer vision library that allows a great variety of image and video processing operations. OpenCV for Python enables us to run computer vision algorithms in real time. This learning path proposes to teach the following topics. First, we will learn how to get started with OpenCV and OpenCV3's Python API, and develop a computer vision application that tracks body parts. Then, we will build amazing intermediate-level computer vision applications such as making an object disappear from an image, identifying different shapes, reconstructing a 3D map from images , and building an augmented reality application, Finally, we'll move to more advanced projects such as hand gesture recognition, tracking visually salient objects, as well as recognizing traffic signs and emotions on faces using support vector machines and multi-layer perceptrons respectively. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: OpenCV Computer Vision with Python by Joseph Howse OpenCV with Python By Example by Prateek Joshi OpenCV with Python Blueprints by Michael Beyeler Style and approach This course aims to create a smooth learning path that will teach you how to get started with will learn how to get started with OpenCV and OpenCV 3's Python API, and develop superb computer vision applications. Through this comprehensive course, you'll learn to create computer vision applications from scratch to finish and more!.
Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.
New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more. Key FeaturesCompletely updated and revised to Python 3.xNew chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineeringLearn more about deep learning algorithms, machine learning data pipelines, and chatbotsBook Description Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques. What you will learnUnderstand what artificial intelligence, machine learning, and data science areExplore the most common artificial intelligence use casesLearn how to build a machine learning pipelineAssimilate the basics of feature selection and feature engineeringIdentify the differences between supervised and unsupervised learningDiscover the most recent advances and tools offered for AI development in the cloudDevelop automatic speech recognition systems and chatbotsApply AI algorithms to time series dataWho this book is for The intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.
This comprehensive and up-to-date textbook discusses fundamental aspects of air pollution with the help of solved and case examples within the chapter and review questions at the end of each chapter. The textbook discusses in depth the entire domain of air pollution, from the fundamentals, sources, types, effects, associated risks, ecology, meteorology, climatology, sampling, monitoring and instrumentation, laboratory quality control, data analysis and interpretation, modelling, control technologies and indoor air pollution, to the latest principles of air quality management and legislation, regulations and standards. This book: Covers fundamentals of air pollution, the atmosphere, air pollution meteorology, effects and control of air pollution Discusses engineering aspects of air quality management and includes concepts of ecology, growth, and sustainable development in the context of air pollution Explains air pollution mitigation philosophies, legislation, regulations, and standards Comprehensively discusses topics including air quality monitoring, sampling, air quality modelling and air quality data analysis Includes case examples for better understanding of the topics and solution manual for the benefit of instructors The text will be useful for senior undergraduate and post-graduate students in the fields of science and engineering. Pedagogical features including solution manual will be uploaded on the website.
Transform your existing web applications into Google Chrome browser extensions and create brand new extensions that improve your own browsing experience and that of your users. This book shows you how Google Chrome browser extensions are extremely useful tools for enhancing the functionality of the Google Chrome web browser. For example, you can create extensions to summarize the current page you are reading, or to save all of the images in the page you are browsing. They have access to almost all of the features provided by the Google Chrome browser, and they can encapsulate such features in the form of a bundled application providing targeted functionality to users. Extensions also run in a sandboxed environment, making them secure – which is a huge plus in the modern web! The APIs provided by the Chrome Extensions framework help you empower web applications by coupling them with amazing features provided by the Google Chrome web browser, such as bookmarks, history, tabs, actions, storage, notifications, search, and a lot more – facilitating increased productivity on the Google Chrome web browser. What You Will Learn: Transform your web application ideas into Google Chrome Extensions. Choose the recommended components for creating your kind of extension. Leverage the power of a Google Chrome browser by making use of the extensions API. Showcase your existing web-development skills in a modern way by creating useful extensions. Who This Book is For divExisting web developers, experienced in creating simple web pages (using HTML, CSS, and JavaScript), to help them create browser extensions for Google Chrome. After understanding the examples and lessons in this book, you will be able to transform your existing web applications into Google Chrome browser extensions, as well as create brand new extensions.
100 recipes that teach you how to perform various machine learning tasks in the real world About This Book Understand which algorithms to use in a given context with the help of this exciting recipe-based guide Learn about perceptrons and see how they are used to build neural networks Stuck while making sense of images, text, speech, and real estate? This guide will come to your rescue, showing you how to perform machine learning for each one of these using various techniques Who This Book Is For This book is for Python programmers who are looking to use machine-learning algorithms to create real-world applications. This book is friendly to Python beginners, but familiarity with Python programming would certainly be useful to play around with the code. What You Will Learn Explore classification algorithms and apply them to the income bracket estimation problem Use predictive modeling and apply it to real-world problems Understand how to perform market segmentation using unsupervised learning Explore data visualization techniques to interact with your data in diverse ways Find out how to build a recommendation engine Understand how to interact with text data and build models to analyze it Work with speech data and recognize spoken words using Hidden Markov Models Analyze stock market data using Conditional Random Fields Work with image data and build systems for image recognition and biometric face recognition Grasp how to use deep neural networks to build an optical character recognition system In Detail Machine learning is becoming increasingly pervasive in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more. With this book, you will learn how to perform various machine learning tasks in different environments. We'll start by exploring a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the book, you'll use a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms. You'll discover how to deal with various types of data and explore the differences between machine learning paradigms such as supervised and unsupervised learning. We also cover a range of regression techniques, classification algorithms, predictive modeling, data visualization techniques, recommendation engines, and more with the help of real-world examples. Style and approach You will explore various real-life scenarios in this book where machine learning can be used, and learn about different building blocks of machine learning using independent recipes in the book.
Build real-world computer vision applications and develop cool demos using OpenCV for Python About This Book Learn how to apply complex visual effects to images using geometric transformations and image filters Extract features from an image and use them to develop advanced applications Build algorithms to help you understand the image content and perform visual searches Who This Book Is For This book is intended for Python developers who are new to OpenCV and want to develop computer vision applications with OpenCV-Python. This book is also useful for generic software developers who want to deploy computer vision applications on the cloud. It would be helpful to have some familiarity with basic mathematical concepts such as vectors, matrices, and so on. What You Will Learn Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image Detect and track various body parts such as the face, nose, eyes, ears, and mouth Stitch multiple images of a scene together to create a panoramic image Make an object disappear from an image Identify different shapes, segment an image, and track an object in a live video Recognize an object in an image and build a visual search engine Reconstruct a 3D map from images Build an augmented reality application In Detail Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we are getting more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Web developers can develop complex applications without having to reinvent the wheel. This book will walk you through all the building blocks needed to build amazing computer vision applications with ease. We start off with applying geometric transformations to images. We then discuss affine and projective transformations and see how we can use them to apply cool geometric effects to photos. We will then cover techniques used for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications. This book will also provide clear examples written in Python to build OpenCV applications. The book starts off with simple beginner's level tasks such as basic processing and handling images, image mapping, and detecting images. It also covers popular OpenCV libraries with the help of examples. The book is a practical tutorial that covers various examples at different levels, teaching you about the different functions of OpenCV and their actual implementation. Style and approach This is a conversational-style book filled with hands-on examples that are really easy to understand. Each topic is explained very clearly and is followed by a programmatic implementation so that the concept is solidified. Each topic contributes to something bigger in the following chapters, which helps you understand how to piece things together to build something big and complex.
With the decreasing number of jobs and the increasing problem of under-employment, Entrepreneurship is no longer a choice but a necessity. Starting own Enterprise is considered a tedious task due to the involvement of many factors, including the lack of awareness of the eco-system of Entrepreneurship. Aspiring Entrepreneurs feel lost in the puzzle or the maze of Entrepreneurship. Start your own Enterprise: The must know-how guide for an Entrepreneur aims at familiarizing the budding Entrepreneurs with the eco-system of Entrepreneurship in India and to make them aware of the steps they need to take to start their own Enterprise. This book will impart the potential Entrepreneurs with the required knowledge about the various stages of starting an Enterprise, from planning till execution, giving the snapshot of the activities which are required to be done in each stage. This book covers the entire gamut of starting an Enterprise, beginning right from the stage of looking for an idea, till the stage of the product launch of your Enterprise in the market. It will guide you through each step of starting your Enterprise and will help you in laying a strong foundation for your Enterprise. About the Author: Dr. Prateek Jain is a Management and Strategy Professional with work experience of more than two decades. He has done his Ph.D. from IIT Delhi, MBA from IIM Lucknow, and BE from Mangalore University. He runs his own consulting and training company, which works in the area of Entrepreneurship and Small & Medium Enterprises (SMEs). He is based at Noida (Delhi NCR).
The depths, which can never be reached even through the sky, the sun and the stars, can be reached through the enigma called poetry. Poetry is the most enchanting literary rendition of any language. This book is an assortment of the varied emotions and thought processes which the author has been through during the various stages of his life. A motley of emotions such as rage, ecstasy, pathos, etc., have been strived to be put forth in the realm of poetry to obscure the malady of ignorance and to enlighten the reader in umpteen ways. A galaxy of poems descend once the pages are turned and a sincere attempt has been made to inspire, educate, motivate and serenade the reader with the various facets in the journey called life. Books are the greatest teachers one can find in life, as each well-written book imparts various lessons, and this fact has been strived to be reiterated and vindicated in earnest through the means of this poetic anthology.
Macedonia, Year 1694, As only child of lovable and hardworking parents Zeus life was plagued with War, separation, and struggle. His soul journey embarks on finding his passion and his true love soul of his life. After surviving devastating attacks, can he hold on to the people whom he loves. The story of the confined soul will take you to beautiful journey of Zeus through cities of Skopje and Veles. He walks on the path of truth, passion and guidance from his highest realm.
Have you heard so much about marketing but are not sure how to do it? Do you admire the marketing done by big companies and MNCs but you don’t have resources they have to do marketing? These are some dilemmas faced by you as a Small or Medium Enterprise (SME) when you venture into marketing. Marketing is a crucial factor in the success or failure of any enterprise and its products. Marketing has usually been done by traditional or conventional methods, which require a lot of resources and expertise to execute The aim of Innovative Marketing: 30 Types of Marketing for Small and Medium Enterprises is to clear the myths around marketing and arming you with 30 types of non-traditional and unconventional marketing which you can do yourself on limited budgets. This book is written out of the substantial experience gained by the author while working in the marketing departments of big companies and MNCs, and later with many SMEs and entrepreneurs in his own consulting and training company. The 30 types of innovative marketing outlined in the book can be implemented at a fraction of the cost of the traditional or conventional marketing and can create multiple times the impact, if executed properly. About the Author: Dr. Prateek Jain is a Management and Strategy professional and has been working in the industry for more than two decades. He has done his PhD from IIT Delhi, MBA from IIM Lucknow and BE from Mangalore University. He had worked in the Marketing and Strategy departments of prominent Indian, European, American and Japanese organizations spanning across various sectors. He runs his own Consulting and Training company in the area of Entrepreneurship and Small and Medium Enterprises (SMEs). He is based at Noida (Delhi NCR).
London, the very name of this iconic capital of United Kingdom evokes strong emotions and associations, wanderlust, fashion shopping, a plush lifestyle, land of the rich and famous, architecture dated back hundreds of years, rainy days, teatime; well, the list is endless. Wonders and joys of living in a multicultural, multiethnic, international city like London abound. This book, Treatise - the London Diaries is a compendium of scholarly articles, experiences, viewpoints, research reports, and even some historical accounts all with a perspective to London and United Kingdom and is intended for a very wholistic reading experience.
Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3 About This Book Get to grips with the basics of Computer Vision and image processing This is a step-by-step guide to developing several real-world Computer Vision projects using OpenCV 3 This book takes a special focus on working with Tesseract OCR, a free, open-source library to recognize text in images Who This Book Is For If you are a software developer with a basic understanding of Computer Vision and image processing and want to develop interesting Computer Vision applications with Open CV, this is the book for you. Knowledge of C++ is required. What You Will Learn Install OpenCV 3 on your operating system Create the required CMake scripts to compile the C++ application and manage its dependencies Get to grips with the Computer Vision workflows and understand the basic image matrix format and filters Understand the segmentation and feature extraction techniques Remove backgrounds from a static scene to identify moving objects for video surveillance Track different objects in a live video using various techniques Use the new OpenCV functions for text detection and recognition with Tesseract In Detail Open CV is a cross-platform, free-for-use library that is primarily used for real-time Computer Vision and image processing. It is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation. Whether you are completely new to the concept of Computer Vision or have a basic understanding of it, this book will be your guide to understanding the basic OpenCV concepts and algorithms through amazing real-world examples and projects. Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used Computer Vision techniques to build your own Open CV projects from scratch. By the end of this book, you will be familiar with the basics of Open CV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition. Style and approach This book is a practical guide with lots of tips, and is closely focused on developing Computer vision applications with OpenCV. Beginning with the fundamentals, the complexity increases with each chapter. Sample applications are developed throughout the book that you can execute and use in your own projects.
Even most Nepalese people have not ventured into the Dolpo and Mustang regions, which are highlighted in this travelogue. Prateek Dhakal, the countrys most renowned travelouge writer, reveals the beautiful scenery of these regions, beginning with a helicopter ride where he sees cliffs, valleys, forests, rivers, and rivulets sprouting from narrow valleys. Only occasionally does he see human settlements. It is mostly cliffs and hills. Once on the ground, he sees some villages mired in poverty. Children run around in torn clothes amid heaps of fresh stools. But other places are beautiful, like one village with a grand and majestic lake. Theres a sign in two languagesNepali and Englishby the lake that reads, Lord Buddha resides in this sacred lake. Please do not contaminate the lake. He sees women fetching water in pitchers from the lake, and it is pristine. Join the author as he crosses dozens of rivers and countless valleys and enjoys breathtaking scenery in Beyond the Himalayas.
Step-by-step guide to practising data science techniques with Jupyter notebooksKey features Acquire Python skills to do independent data science projects Learn the basics of linear algebra and statistical science in Python way Understand how and when they're used in data science Build predictive models, tune their parameters and analyze performance in few steps Cluster, transform, visualize, and extract insights from unlabelled datasets Learn how to use matplotlib and seaborn for data visualization Implement and save machine learning models for real-world business scenarios Description Modern businesses are awash with data, making data driven decision-making tasks increasingly complex. As a result, relevant technical expertise and analytical skills are required to do such tasks. This book aims to equip you with just enough knowledge of Python in conjunction with skills to use powerful tool such as Jupyter Notebook in order to succeed in the role of a data scientist. The book starts with a brief introduction to the world of data science and the opportunities you may come across along with an overview of the key topics covered in the book. You will learn how to setup Anaconda installation which comes with Jupyter and preinstalled Python packages. Before diving in to several supervised, unsupervised and other machine learning techniques, you'll learn how to use basic data structures, functions, libraries and packages required to import, clean, visualize and process data. Several machine learning techniques such as regression, classification, clustering, time-series etc have been explained with the use of practical examples and by comparing the performance of various models. By the end of the book, you will come across few case studies to put your knowledge to practice and solve real-life business problems such as building a movie recommendation engine, classifying spam messages, predicting the ability of a borrower to repay loan on time and time series forecasting of housing prices. Remember to practice additional examples provided in the code bundle of the book to master these techniques.Who this book is forThe book is intended for anyone looking for a career in data science, all aspiring data scientists who want to learn the most powerful programming language in Machine Learning or working professionals who want to switch their career in Data Science. While no prior knowledge of Data Science or related technologies is assumed, it will be helpful to have some programming experience.Table of contents1. Data Science Fundamentals2. Installing Software and Setting up3. Lists and Dictionaries4. Function and Packages5. NumPy Foundation6. Pandas and Dataframe7. Interacting with Databases8. Thinking Statistically in Data Science9. How to import data in Python?10. Cleaning of imported data11. Data Visualization12. Data Pre-processing13. Supervised Machine Learning14. Unsupervised Machine Learning15. Handling Time-Series Data16. Time-Series Methods 17. Case Study - 118. Case Study - 219. Case Study - 320. Case Study - 4About the authorPrateek is a Data Enthusiast and loves the data driven technologies. Prateek has total 7 years of experience and currently he is working as a Data Scientist in an MNC. He has worked with finance and retail clients and has developed Machine Learning and Deep Learning solutions for their business. His keen area of interest is in natural language processing and in computer vision. In leisure he writes posts about Data Science with Python in his blog.
In 2005, during the US-Iraq war, one of the most horrifying war crimes occurred in Haditha, Iraq. Daniel Ryan was going through a military trial for causing a massacre. During his trial, he was send to a secret location in Israel. He met an CIA official in Israel who guided him on his new journey to New York City. Rachel Green went rogue and was on the run in Syria. CIA and ISIS were trying to track her down. She knew something that the agency did not want the world to know. Meanwhile ISIS was conducting a training program under which youngsters were targeted to execute deadly mission around the world. They found someone in the Zaatari Refugee camp, Jordan. Will the young attacker succeed in his mission, or will he be stopped?
A must-have resource for those preparing for the MJDF, MFDS, ORE, and other dental examinations Single best answer (SBA) questions are widely used in dental examinations including the Membership of the Joint Dental Faculties (MJDF), Member of the Faculty of Dental Surgery (MFDS), and the Overseas Registration Exam (ORE). Single Best Answer Questions for Dentistry is a comprehensive revision tool designed to help dental students be thoroughly prepared on exam day. Each clearly written SBA question is accompanied by an accurate answer and a full explanation, providing students with a quick and easy-to-access way to revise. The SBAs cover a broad range of specialties within dentistry such as restorative dentistry, oral surgery, oral pathology, paediatric dentistry and orthodontics, periodontology, oral medicine, and more. All terms throughout the book conform to the latest evidence and guidelines, such as the most recent classification of periodontal disease, and match the level of knowledge required for success on current dental examinations. Written by a leading dental practitioner, this valuable resource: Comprises 10 chapters, organised by specialty, each containing 20 to 30 SBAs with their associated answers and explanations Covers various dental specialties and topics including restorative dentistry, radiology, pharmacology, human disease, and dental materials Presents a simple and efficient question-and-answer format that is ideal for exam revision Helps strengthen students’ skills in clinical problem solving and decision making Containing more than 280 questions of varying difficulty levels as well as numerous high-quality images and radiographs, Single Best Answer Questions for Dentistry is essential reading for all dental students and a useful tool for practicing dentists wanting to test or refresh their knowledge.
The handbook is based on the intent to facilitate the mathematics teachers and students towards their algebra learning. The handbook contains nine different units based on the NCERT and different state boards' prescribed syllabi of mathematics. It provides systematic learning experiences to the learners' understanding of the abstract concepts of algebra, which improves the algebraic understanding and nurtures the ways of thinking in the form of algebraic reasoning simultaneously. The content presentation is designed in a self-instructional and self-paced child-centered modular approach to enhance algebraic understanding among the learners. The handbook will provide flexibility and conceptual strength to the teachers to extend the elaborations of algebraic concepts with more effective and dynamic ways of teaching algebra. In a nutshell, the handbook provides an algebraic eye to the teacher and learner to look deeper into the problems of algebra and its different ways of solution.
Genomics Has Become The Hot Soup Of Molecular Genetics And Biotechnology. The Subject Covers A Wide Area Packed With Huge Number Of Tools And Techniques For Dissecting The Genome. The Information Thus Obtained Is Used To Manipulate The Genome By Genetic Engineering Of An Organism. The Book Genomics And Genetic Engineering Is A Helpline To The Students Entering Into This Vast Arena For The First Time. It Provides An Overview Of The Subject, The Genome Which Is To Be Studied And Manipulated And The Cutting Edge Technologies Involved In Present Day Genomics Research. Genetic Engineering And Genomics Have Many Common Basic Tools Such As Restriction, Gene Cloning, Marker Based Screening, Gene Delivery And Transient Expression Analysis. All Technologies Have Been Clustered Together And Discussed In Three Sequential Chapters. Two Chapters Have Been Dedicated To The Application Of Genetic Engineering In Animal And Plant. A Special Chapter Describes The Regulatory And Safety Aspects Of Genome Manipulation Technologies.
Want to create sophisticated games and graphics-intensive apps? Learn OpenGL ES gets you started immediately with OpenGL ES. After mastering the basics of OpenGL ES itself, you will quickly find yourself writing and building game apps, without having to learn about object oriented programming techniques. This book demonstrates the use of a powerful open-source modeling tool, Blender. You will be guided, step by step, through the development of Tank Fence, a dynamic, interactive 3D game. Along the way you'll gain skills in building apps with Eclipse and the Android SDK or NDK, rendering graphics using hardware acceleration, and multithreading for performance and responsiveness. iOS developers will also find this book's information invaluable when writing their apps. You'll learn everything you need to know about: Creating simple, efficient game UIs Designing the basic building blocks of an exciting, interactive 3D game Pulling all the elements together with Blender, a powerful open-source tool for modeling, animation, rendering, compositing, video editing, and game creation Taking the next big step using custom and inbuilt functions, texturing, shading, light sources, and more Refining your mobile game app through collision detection, player-room-obstacle classes, and storage classes Doing all this efficiently on mobile devices with limited resources and processing
Ideas are ubiquitous. They are the fundamental building blocks for all aspects of life. Yet, efforts to use ideas as a basic unit of analysis in a shared framework are rare. We often find it difficult to look past the artificial boundaries that academic disciplines and specialist fields of knowledge construct. In this book, the authors address this substantial lacuna by proposing an intuitive theory of ideas that serves as a trans-disciplinary basis for studying innovation and creativity. The theory proposed shows how new ideas emerge from contexts that rely on mechanisms, which were originally built on older and more central ideas. It demonstrates how these mechanisms help instantiate different perspectives on the same idea in variegated manners. By applying their theory to a variety of bat and ball sports, the authors illustrate the role that primitive ideas have on sports innovation, and explore further avenues for employing the theory in a number of different situations. This original book will be of interest to anyone who wishes to gain a deeper understanding of the processes of innovation and creativity, developed within a complex framework of ideas.
Can deep contemplation give rise to macabre visions? What happens to the attempts of resolving a deranged mind? Some men go through spirals of Decadence, spending years in the pursuit of the authentic, becoming obscure and absurd, finally losing the difference between real and unreal. Exhausted with reasoning and self-reflection, with a subsequent lack of self-control breeds fear, permeating the surroundings. The road to Freedom, or so the narrator believed in until his own experiences begin to unhinge him. The Journal of a man, alienated and occasionally delusional, trying to articulate a method to overcome the ephemeral only to severe ties with the present. Will he understand the deeper meaning of existence after being in limbo, wasting with his degenerating memories and desires?
Explore modern Web Component design and integrate them with a variety of web frameworks to build encapsulated reusable UI components for your web apps Key FeaturesLearn Web Components with more than 50 web component examples for both beginners and advanced usersCreate responsive and highly customizable web pages using HTML, CSS, and JavaScriptExtend the potential of Web Components by integrating them with standard web frameworksBook Description Web Components are a set of APIs that help you build reusable UI modules that can operate in any modern browser using just Vanilla JavaScript. The power of Web Components lies in their ability to build frontend web applications with or without web frameworks. With this practical guide, you will understand how Web Components can help you build reusable UI components for your modern web apps. The book starts by explaining the fundamentals of Web Components' design and strategies for using them in your existing frontend web projects. You will also learn how to use JavaScript libraries such as Polymer.js and Stencil.js for building practical components. As you progress, you will build a single-page application using only Web Components to fully realize their potential. This practical guide demonstrates how to work with Shadow DOM and custom elements to build the standard components of a web application. Toward the end of the book, you will learn how to integrate Web Components with standard web frameworks to help you manage large-scale web applications. By the end of this book, you will have learned about the capabilities of Web Components in building custom elements and have the necessary skills for building a reusable UI for your web applications. What you will learnUnderstand Web Component design, specifications, and life cycleCreate single-page applications using Web ComponentsEnable reusability and customization for your UI componentsImplement Web Components in your web apps using Polymer and Stencil librariesBuild powerful frontend components from scratch and deploy them on the webDesign patterns and best practices to integrate Web Components into your existing web applicationWho this book is for This book is for developers who have heard about web components, but don't really know where to start. This book is also for intermediate and advanced developers who know what web components are, but are still afraid to use them in production. This book is also for frontend engineers who are simply looking into web components in order to increase their knowledge and skills.
Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions of OpenCV. Key Features Learn how to apply complex visual effects to images with OpenCV 3.x and Python Extract features from an image and use them to develop advanced applications Build algorithms to help you understand image content and perform visual searches Get to grips with advanced techniques in OpenCV such as machine learning, artificial neural network, 3D reconstruction, and augmented reality Book Description Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we have more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Focusing on OpenCV 3.x and Python 3.6, this book will walk you through all the building blocks needed to build amazing computer vision applications with ease. We start off by manipulating images using simple filtering and geometric transformations. We then discuss affine and projective transformations and see how we can use them to apply cool advanced manipulations to your photos like resizing them while keeping the content intact or smoothly removing undesired elements. We will then cover techniques of object tracking, body part recognition, and object recognition using advanced techniques of machine learning such as artificial neural network. 3D reconstruction and augmented reality techniques are also included. The book covers popular OpenCV libraries with the help of examples. This book is a practical tutorial that covers various examples at different levels, teaching you about the different functions of OpenCV and their actual implementation. By the end of this book, you will have acquired the skills to use OpenCV and Python to develop real-world computer vision applications. What you will learn Detect shapes and edges from images and videos How to apply filters on images and videos Use different techniques to manipulate and improve images Extract and manipulate particular parts of images and videos Track objects or colors from videos Recognize specific object or faces from images and videos How to create Augmented Reality applications Apply artificial neural networks and machine learning to improve object recognition Who this book is for This book is intended for Python developers who are new to OpenCV and want to develop computer vision applications with OpenCV and Python. This book is also useful for generic software developers who want to deploy computer vision applications on the cloud. It would be helpful to have some familiarity with basic mathematical concepts such as vectors, matrices, and so on.
Allegorical and Imaginative; at times the poems tend to take a mystical shape. The language is simple yet profound in meaning. The book expounds and illustrates the journey of a Being, where brief pauses in life provide insights. Poems are a good medium to simplify the thoughts and provide a natural rhythm to the flow of Being’s experience through discovery of Love, that Inspires a Vision which finally paves the Path, as the Being moves along to maturity and realization of Self. This unique collection of Poems is bound to invoke thoughts and inspire the reader to explore own perspective towards life.
Embark on an exhilarating journey into the world of entrepreneurship with "Accelerate Startup Success" by Prateek Sollapur, an indispensable companion for aspiring visionaries. This concise yet comprehensive guide is brimming with invaluable insights and interactive blueprints, ensuring your path to success is illuminated at every step. Inside the book, you will discover: * Demystification of the intricate landscape of startup funding, transforming it into a navigable roadmap that empowers you to secure the resources you need. * Tried and tested methods for perfecting your investor pitch, enabling you to captivate and persuade potential backers with confidence. * Proven strategies for building a formidable investor pipeline, drawing from Prateek's own experiences in raising a multimillion-dollar seed fund. Regardless of your experience level, "Accelerate Startup Success" is an indispensable tool that propels your entrepreneurial journey. It transcends mere literature, becoming your trusted advisor and perpetual reference as you navigate the challenges of startup life. Dive into its pages and unlock the secrets to accelerating your startup's triumphs.
Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow, and PyTorch Key FeaturesLearn and implement machine learning algorithms in a variety of real-life scenariosCover a range of tasks catering to supervised, unsupervised and reinforcement learning techniquesFind easy-to-follow code solutions for tackling common and not-so-common challengesBook Description This eagerly anticipated second edition of the popular Python Machine Learning Cookbook will enable you to adopt a fresh approach to dealing with real-world machine learning and deep learning tasks. With the help of over 100 recipes, you will learn to build powerful machine learning applications using modern libraries from the Python ecosystem. The book will also guide you on how to implement various machine learning algorithms for classification, clustering, and recommendation engines, using a recipe-based approach. With emphasis on practical solutions, dedicated sections in the book will help you to apply supervised and unsupervised learning techniques to real-world problems. Toward the concluding chapters, you will get to grips with recipes that teach you advanced techniques including reinforcement learning, deep neural networks, and automated machine learning. By the end of this book, you will be equipped with the skills you need to apply machine learning techniques and leverage the full capabilities of the Python ecosystem through real-world examples. What you will learnUse predictive modeling and apply it to real-world problemsExplore data visualization techniques to interact with your dataLearn how to build a recommendation engineUnderstand how to interact with text data and build models to analyze itWork with speech data and recognize spoken words using Hidden Markov ModelsGet well versed with reinforcement learning, automated ML, and transfer learningWork with image data and build systems for image recognition and biometric face recognitionUse deep neural networks to build an optical character recognition systemWho this book is for This book is for data scientists, machine learning developers, deep learning enthusiasts and Python programmers who want to solve real-world challenges using machine-learning techniques and algorithms. If you are facing challenges at work and want ready-to-use code solutions to cover key tasks in machine learning and the deep learning domain, then this book is what you need. Familiarity with Python programming and machine learning concepts will be useful.
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