Internet of Everything: How the Convergence of People, Process, Data, and Things is Transforming Our World" is a comprehensive guide that delves into the transformative potential of the Internet of Everything (IOE). The book explores the integration of people, processes, data, and things, emphasiing how this convergence generates new capabilities, more engaging experiences, and unprecedented future trends in IoE ."Internet of Everything" comprehensively comprehends how interconnected systems transform society and various sectors. The book underscores the significance of a comprehensive approach to optimising the full potential of IoE, including the technologies involved with multiple use cases like Smart Industries, Smart Homes, and Healthcare and motivating stakeholders to innovate and collaborate to achieve a more intelligent and interconnected future
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).
India and its market are highly complex and even the native people face challenges in understanding it; leave aside the foreigners. India is a highly heterogeneous country with marked differences in everything, including business. It is quite usual for people to get perplexed and puzzled by the diversity of India and the variations existing in its market. A proper understanding of the history, culture, and society of a country is a pre-requisite for achieving success in doing business in that country. This book provides you with a broad overview of India and the Indian market with a lot of on-ground practical information. This book is meant for entrepreneurs and Small & Medium Enterprises (SMEs) who want to do business in India. It will be of great use to the foreign entrepreneurs and SMEs who want to do business in India and also the Indian entrepreneurs and SMEs who want to expand to the national level from the local or regional level. This book will also be of interest to those who have good local or regional knowledge about India but want to know more about India at the national level. They will discover some lesser-known aspects of the Indian market and will come to know about many new things which they never knew about India. This is among the best times to do business in India. Opportunities and possibilities exist in all areas and transitions are taking place fast. It’s high time that foreign as well as Indian entrepreneurs and SMEs explore this vast country and its market. The only requirement is to appreciate the uniqueness existing in the Indian market and act accordingly. About the Author: Dr. Prateek Jain is a Management and Strategy Professional with a work experience of more than 23 years. He has done his PhD from IIT Delhi, MBA from IIM Lucknow and BE from Mangalore University. He runs his own Consulting and Training organization, which works in the area of entrepreneurship and Small & Medium Enterprises (SMEs). Among other activities, his organization also facilitates business relations between Indian and foreign entrepreneurs and SMEs, and works with them with regards to India and do their hand-holding in the Indian market. He is based at Noida (Delhi NCR).
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).
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.
Vijay, an aspiring bodybuilder from a small town, Jhajjar, takes part in a bodybuilding championship. Fate intervenes and deprives him of the podium finish. Heartbroken, he comes to Delhi and joins The Good life Gym as a trainer. Here he meets Mummy ji, the middle-aged owner of the gym. Mummy ji, a science nerd, is on a mission to promote self-awareness through food and exercise. Many characters come in Vijay’s life courtesy the gym and his world expands. In due course he discovers the true value of relationships, the most important being the one with your own self.
Solve business problems with data-driven techniques and easy-to-follow Python examples Ê KEY FEATURESÊÊ _ Essential coverage on statistics and data science techniques. _ Exposure to Jupyter, PyCharm, and use of GitHub. _ Real use-cases, best practices, and smart techniques on the use of data science for data applications. DESCRIPTIONÊÊ This book begins with an introduction to Data Science followed by the Python concepts. The readers will understand how to interact with various database and Statistics concepts with their Python implementations. You will learn how to import various types of data in Python, which is the first step of the data analysis process. Once you become comfortable with data importing, you willÊ clean the dataset and after that will gain an understanding about various visualization charts. This book focuses on how to apply feature engineering techniques to make your data more valuable to an algorithm. The readers will get to know various Machine Learning Algorithms, concepts, Time Series data, and a few real-world case studies. This book also presents some best practices that will help you to be industry-ready. This book focuses on how to practice data science techniques while learning their concepts using Python and Jupyter. This book is a complete answer to the most common question that how can you get started with Data Science instead of explaining Mathematics and Statistics behind the Machine Learning Algorithms. WHAT YOU WILL LEARN _ Rapid understanding of Python concepts for data science applications. _ Understand and practice how to run data analysis with data science techniques and algorithms. _ Learn feature engineering, dealing with different datasets, and most trending machine learning algorithms. _ Become self-sufficient to perform data science tasks with the best tools and techniques. Ê WHO THIS BOOK IS FORÊÊ This book is for a beginner or an experienced professional who is thinking about a career or a career switch to Data Science. Each chapter contains easy-to-follow Python examples. Ê TABLE OF CONTENTS 1. Data Science Fundamentals 2. Installing Software and System Setup 3. Lists and Dictionaries 4. Package, Function, and Loop 5. NumPy Foundation 6. Pandas and DataFrame 7. Interacting with Databases 8. Thinking Statistically in Data Science 9. How to Import Data in Python? 10. Cleaning of Imported Data 11. Data Visualization 12. Data Pre-processing 13. Supervised Machine Learning 14. Unsupervised Machine Learning 15. Handling Time-Series Data 16. Time-Series Methods 17. Case Study-1 18. Case Study-2 19. Case Study-3 20. Case Study-4 21. Python Virtual Environment 22. Introduction to An Advanced Algorithm - CatBoost 23. Revision of All ChaptersÕ Learning
Brecht in India analyses the dramaturgy and theatrical practices of the German playwright Bertolt Brecht in post-independence India. The book explores how post-independence Indian drama is an instance of a cultural palimpsest, a site celebrating a dialogue between Western and Indian theatrical traditions, rather than a homogenous and isolated canon. Analysing the dissemination of a selection of Brecht’s plays in the Hindi belt between the 1960s and the 1990s, this study demonstrates that Brecht’s work provided aesthetic and ideological paradigms to modern Hindi playwrights, helping them develop and stage a national identity. The book also traces how the reception of Brecht was mediated in India, how it helped post-independence Indian playwrights formulate a political theatre, and how the dissemination of Brechtian aesthetics in India addressed the anxiety related to the stasis in Brechtian theatre in Europe. Tracking the dialogue between Brechtian aesthetics in India and Europe and a history of deliberate cultural resistance, Brecht in India is an invaluable resource for academics and students of theatre studies and theatre historiography, as well as scholars of post-colonial history and literature.
The book titled "Mobile Computing" covers complete syllabus of Mobile Computing prescribed by Technical University of Uttar Pradesh and other Universities also. The Book contains better understanding of Mobile Computing concept. This Book will also guide on the job reference for IT practitioners in mobile computing environments.
With the rapidly changing world that we live in, a new business or brand is introduced to us each day. Every brand needs a unique marketing strategy to make it big! This easy and compact manual sets out to decode the essential questions about marketing, using wisdom from ancient Indian scriptures to tackle modern marketing challenges. You can learn more about: - the importance of marketing in modern business - transforming your challenges into opportunities - marketing mistakes to avoid while starting a new business - navigating your brand journey to reach the maximum potential - understanding the right marketing context to scale new heights The Marketing Gita draws an analogy between the worlds of marketing and stories from ancient Indian scriptures, to trace the journey of a brand from its birth to the end, as also its trials and triumphs.
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.
The Switch Off Theory" is designed to take you on a journey of mindset shift, self-reflection, and strategic planning. Each chapter offers practical exercises to understand yourself, evaluate your life, find clarity, and develop creative solutions to achieve your purpose. Throughout these pages, you will discover the power of self-reflection and introspection, uncover logical management models that can unlock your potential, and learn spiritual techniques to achieve clarity of mind through meditation, mindfulness, and prayer. Treat this book as your trusted companion, offering guidance and insights that you can return to whenever the need arises. By embracing the principles and exercises outlined in this book, you will be empowered to conquer challenges, overcome obstacles, and chart a fulfilling path toward your aspirations. Are you ready? Let's embark on this transformative journey together!
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.
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.
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.
Non-convex Optimization for Machine Learning takes an in-depth look at the basics of non-convex optimization with applications to machine learning. It introduces the rich literature in this area, as well as equips the reader with the tools and techniques needed to apply and analyze simple but powerful procedures for non-convex problems. Non-convex Optimization for Machine Learning is as self-contained as possible while not losing focus of the main topic of non-convex optimization techniques. The monograph initiates the discussion with entire chapters devoted to presenting a tutorial-like treatment of basic concepts in convex analysis and optimization, as well as their non-convex counterparts. The monograph concludes with a look at four interesting applications in the areas of machine learning and signal processing, and exploring how the non-convex optimization techniques introduced earlier can be used to solve these problems. The monograph also contains, for each of the topics discussed, exercises and figures designed to engage the reader, as well as extensive bibliographic notes pointing towards classical works and recent advances. Non-convex Optimization for Machine Learning can be used for a semester-length course on the basics of non-convex optimization with applications to machine learning. On the other hand, it is also possible to cherry pick individual portions, such the chapter on sparse recovery, or the EM algorithm, for inclusion in a broader course. Several courses such as those in machine learning, optimization, and signal processing may benefit from the inclusion of such topics.
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