Design and deploy cross-platform apps with Flutter and Dart KEY FEATURES ● Get familiar with the fundamentals of Flutter, as a development framework, and Dart, as a programming language. ● Learn how to build a single mobile app that runs smoothly on several operating systems. ● A step-by-step guide that will help you build and deploy cross-platform apps with Google's Flutter SDK. DESCRIPTION Flutter and Dart are quickly becoming the go-to tools for building scalable native mobile apps. Whether you're a beginner looking to get started with mobile development or an experienced developer looking to add Flutter and Dart to your toolkit, this book has something for you. In this practical guide, you'll learn everything you need to know to get started with Flutter and Dart and build your cross-platform mobile apps. The book starts with an overview of the Flutter and Dart framework. It then takes you through the basics of app development, and gives you a solid foundation to build upon. The book then focuses on how to design and build user interfaces with Flutter, including how to use widgets, layouts, and themes. It then helps you understand how to manage app state and handle data in Flutter, as well as how to optimize performance and integrate with native code. In addition to the core concepts, the book covers advanced topics to help you build robust and reliable apps. Lastly, it explores real-world case studies and examples of Flutter and Dart apps, providing inspiration and guidance for your projects. By the end of the book, you'll be able to build stunning multi-platform mobile apps with Flutter and Dart. WHAT YOU WILL LEARN ● Learn how to design and build user interfaces with Flutter. ● Discover techniques for managing app state and handling data in Flutter. ● Learn how to use Flutter and Dart for network programming and asynchronous programming. ● Get tips for testing and debugging Flutter and Dart apps. ● Explore best practices for optimizing app performance and integrating with native code. WHO THIS BOOK IS FOR This book is for Mobile app developers, Cross-platform developers, and App developers who want to build and deploy cross-platform apps with Flutter and Dart. TABLE OF CONTENTS 1. Introduction to Flutter 2. Installing the Flutter SDK 3. Introduction to Dart 4. Classes and Functions in Dart 5. Introduction to Widgets 6. Using Common Widgets 7. Building Flutter Application 8. Introduction to Packages 9. Building Layouts 10. Flutter Database Concepts
Explore Machine Learning Techniques, Different Predictive Models, and its Applications Ê KEY FEATURESÊÊ _ Extensive coverage of real examples on implementation and working of ML models. _ Includes different strategies used in Machine Learning by leading data scientists. _ Focuses on Machine Learning concepts and their evolution to algorithms. DESCRIPTIONÊ This book covers basic concepts of Machine Learning, various learning paradigms, different architectures and algorithms used in these paradigms. You will learn the power of ML models by exploring different predictive modeling techniques such as Regression, Clustering, and Classification. You will also get hands-on experience on methods and techniques such as Overfitting, Underfitting, Random Forest, Decision Trees, PCA, and Support Vector Machines. In this book real life examples with fully working of Python implementations are discussed in detail. At the end of the book you will learn about the unsupervised learning covering Hierarchical Clustering, K-means Clustering, Dimensionality Reduction, Anomaly detection, Principal Component Analysis.Ê WHAT YOU WILL LEARN _ Learn to perform data engineering and analysis. _ Build prototype ML models and production ML models from scratch. _ Develop strong proficiency in using scikit-learn and Python. _ Get hands-on experience with Random Forest, Logistic Regression, SVM, PCA, and Neural Networks. WHO THIS BOOK IS FORÊÊ This book is meant for beginners who want to gain knowledge about Machine Learning in detail. This book can also be used by Machine Learning users for a quick reference for fundamentals in Machine Learning. Readers should have basic knowledge of Python and Scikit-Learn before reading the book. TABLE OF CONTENTS 1. Introduction to Machine Learning 2. Linear Regression 3. Classification Using Logistic Regression 4. Overfitting and Regularization 5. Feasibility of Learning 6. Support Vector Machine 7. Neural Network 8. Decision Trees 9. Unsupervised Learning 10. Theory of Generalization 11. Bias and Fairness in ML
Machine learning is a subfield of artificial intelligence, broadly defined as a machine's capability to imitate intelligent human behavior. Like humans, machines become capable of making intelligent decisions by learning from their past experiences. Machine learning is being employed in many applications, including fraud detection and prevention, self-driving cars, recommendation systems, facial recognition technology, and intelligent computing. This book helps beginners learn the art and science of machine learning. It presens real-world examples that leverage the popular Python machine learning ecosystem, The topics covered in this book include machine learning basics: supervised and unsupervised learning, linear regression and logistic regression, Support Vector Machines (SVMs). It also delves into special topics such as neural networks, theory of generalisation, and bias and fairness in machine learning. After reading this book, computer science and engineering students - at college and university levels - will receive a complete understanding of machine learning fundamentals and will be able to implement neural network solutions in information systems, and also extend them to their advantage.
The unique aspect of this book is collection of 100 true case scenarios as one sees them in the casualty, the main objective being to provide a convenient source of information in the emergency hour. The book constitutes 43 chapters into three sections. In this book the first dealing with commonly encountered emergency situations in obstetrics, the second dealing with emergency situations in gynecology and the third dealing with situations common to both Obstetrics and gynecology. Each chapter is well laid out and written in an easy-to-understand format. The book is written with focus on practical and academic needs of both postgraduate students and practicing consultants. It provides a convenient source of information and a practical guideline for ready reference in the management of challenging emergency situations in the casualty.
The textbook covers core subjects in managerial programs, focusing on Managerial Economics and the Business Environment, which are fundamental for understanding macro-economic analysis. This book discusses the multifaceted aspects of the business environment, with a special focus on the economic ecosystem. By integrating fundamental concepts with practical examples and exercises, it aims to facilitate comprehension, provide realistic insights, and offer practice opportunities for concept recall. This comprehensive textbook is designed to be an invaluable resource for B-school students at both postgraduate and graduate levels, pursuing managerial programs. It is equally beneficial for traditional degree programs incorporating macroeconomics courses. The book caters to a diverse student body, including those from engineering, science, and liberal arts backgrounds, making complex economic principles accessible to all. The Present Publication is the Latest Edition, authored by Prof. (Dr.) Satya P. Das, Prof. (Dr.) J.K. Goyal, and Prof. (Dr.) Deepti Kakar. The noteworthy features of this book are as follows: • [Comprehensive Coverage] The book spans crucial topics from getting started with economic basics to in-depth analyses of fiscal and monetary policies, inflation, central banking, and macroeconomic management in an open economy • [Accessible to All Backgrounds] Tailored to demystify economic concepts for students irrespective of their academic past, ensuring a deep understanding of managerial economics and the business environment • [Structured Learning Path] The contents are strategically aligned with the academic structure of two-year full-time management programs, covering core papers on managerial and macro-economic analysis • [Engaging and Informative] Unique conversational writing style, managerial implications for each topic, and various exercises, including descriptive questions, numerical problems, quizzes, and crosswords • [Versatile Content] Incorporates essential subject matter relevant across various B-schools, regardless of course title differences such as Macro-economic Management or Economic Environment of Business. • [Rich in Examples] This book offers an abundance of real-world and scriptural examples within the text to enhance learning and relevance The book is structured into thirteen comprehensive chapters, each concluding with exercises to reinforce the concepts covered. Additionally, it includes answers to selected questions at the end. • Getting Started – Introduces the concept of the business environment, emphasising its importance for analysis and understanding • Dimensions of Business Environment – Analyses economic and non-economic dimensions through contemporary examples • From Micro Management to Macro Management – Transitions from micro-level to macro-level discussions • Macroeconomics in Historical Perspective – Discusses the evolution of macroeconomic theories globally • National Income – Covers measurement and concepts, focusing on business implications • Economic Growth and Development – Broadens perspectives beyond income, examining challenges and opportunities • Income and Employment – Analyses the relationship between income and employment and its significance • Fiscal Policy and Budget – Highlights the government's role in the business environment • Money and Banking – Discusses the evolution and role of these elements in economic growth • Inflation – Explains the concept and its implications for business • Central Banking, Monetary Policy, and Interest Rates – Examines the impact of central banking and policy-making • Integration of Fiscal and Monetary Policies – Introduces the IS-LM Model, Phillips Curve, and stagflation concepts • Macroeconomic Management in an Open Economy – Discusses international transactions and global institutions in an open economy context
Parkinsonism is a clinical syndrome characterised by tremor, bradykinesia, rigidity, and postural instability. Parkinsonism shares symptoms found in Parkinson's Disease, from which it is named; but parkinsonism is a symptom complex, and differs from Parkinson's disease which is a progressive neurodegenerative illness. This book is a guide to Parkinsonism for practising neurologists. Beginning with an overview of the condition, the next chapters discuss the differences between Parkinsonism and Parkinson’s Disease. The following sections cover the diagnosis and treatment of various disorders associated with Parkinsonism and both early and advanced Parkinson’s Disease. A complete chapter is dedicated to the use of Botulinum Toxin (Botox) in the management of Parkinsonism. Each chapter is supplemented by clinical cases to assist understanding of the complex condition. Edited by recognised experts in the field, the book is further enhanced by clinical photographs and illustrations. Key points Guide to Parkinsonism detailing differences between the condition and Parkinson’s Disease Covers diagnosis and treatment of disorders associated with both conditions Includes chapter on use of Botulinum Toxin (Botox) in the management of Parkinsonism Each chapter features clinical cases to assist understanding
Do you want to study abroad in the best universities at an affordable fee? While planning to study abroad, one is generally confused and riddled with a number of doubts: Which countries are safe? Which will be the best university for the course befitting my choice? Is MBBS affordable abroad? How can I avail some scholarship or financial aid? If you are worried about any of these questions, then this is the book for you. You will find Planning to Study Abroad? – A Compressive Guide covering details of 17 countries where over 96% Indian students are studying at present. It covers popular world-ranking universities, courses, cost of education in each country, scholarships, available financial aids, visa formalities and timeline for actions to be taken before going abroad. Mandatory tests like TOEFL, IELTS, SAT, GRE and GMAT have also been covered alongside the common scams by fake agents, which one should be aware of. This book was researched and written by the authors of Trending Careers – Counselling & Guidance for students of 9th to 12th classes, a very popular book.
Learn to build expert NLP and machine learning projects using NLTK and other Python libraries About This Book Break text down into its component parts for spelling correction, feature extraction, and phrase transformation Work through NLP concepts with simple and easy-to-follow programming recipes Gain insights into the current and budding research topics of NLP Who This Book Is For If you are an NLP or machine learning enthusiast and an intermediate Python programmer who wants to quickly master NLTK for natural language processing, then this Learning Path will do you a lot of good. Students of linguistics and semantic/sentiment analysis professionals will find it invaluable. What You Will Learn The scope of natural language complexity and how they are processed by machines Clean and wrangle text using tokenization and chunking to help you process data better Tokenize text into sentences and sentences into words Classify text and perform sentiment analysis Implement string matching algorithms and normalization techniques Understand and implement the concepts of information retrieval and text summarization Find out how to implement various NLP tasks in Python In Detail Natural Language Processing is a field of computational linguistics and artificial intelligence that deals with human-computer interaction. It provides a seamless interaction between computers and human beings and gives computers the ability to understand human speech with the help of machine learning. The number of human-computer interaction instances are increasing so it's becoming imperative that computers comprehend all major natural languages. The first NLTK Essentials module is an introduction on how to build systems around NLP, with a focus on how to create a customized tokenizer and parser from scratch. You will learn essential concepts of NLP, be given practical insight into open source tool and libraries available in Python, shown how to analyze social media sites, and be given tools to deal with large scale text. This module also provides a workaround using some of the amazing capabilities of Python libraries such as NLTK, scikit-learn, pandas, and NumPy. The second Python 3 Text Processing with NLTK 3 Cookbook module teaches you the essential techniques of text and language processing with simple, straightforward examples. This includes organizing text corpora, creating your own custom corpus, text classification with a focus on sentiment analysis, and distributed text processing methods. The third Mastering Natural Language Processing with Python module will help you become an expert and assist you in creating your own NLP projects using NLTK. You will be guided through model development with machine learning tools, shown how to create training data, and given insight into the best practices for designing and building NLP-based applications using Python. This Learning Path combines some of the best that Packt has to offer in one complete, curated package and is designed to help you quickly learn text processing with Python and NLTK. It includes content from the following Packt products: NTLK essentials by Nitin Hardeniya Python 3 Text Processing with NLTK 3 Cookbook by Jacob Perkins Mastering Natural Language Processing with Python by Deepti Chopra, Nisheeth Joshi, and Iti Mathur Style and approach This comprehensive course creates a smooth learning path that teaches you how to get started with Natural Language Processing using Python and NLTK. You'll learn to create effective NLP and machine learning projects using Python and NLTK.
Design and deploy cross-platform apps with Flutter and Dart KEY FEATURES ● Get familiar with the fundamentals of Flutter, as a development framework, and Dart, as a programming language. ● Learn how to build a single mobile app that runs smoothly on several operating systems. ● A step-by-step guide that will help you build and deploy cross-platform apps with Google's Flutter SDK. DESCRIPTION Flutter and Dart are quickly becoming the go-to tools for building scalable native mobile apps. Whether you're a beginner looking to get started with mobile development or an experienced developer looking to add Flutter and Dart to your toolkit, this book has something for you. In this practical guide, you'll learn everything you need to know to get started with Flutter and Dart and build your cross-platform mobile apps. The book starts with an overview of the Flutter and Dart framework. It then takes you through the basics of app development, and gives you a solid foundation to build upon. The book then focuses on how to design and build user interfaces with Flutter, including how to use widgets, layouts, and themes. It then helps you understand how to manage app state and handle data in Flutter, as well as how to optimize performance and integrate with native code. In addition to the core concepts, the book covers advanced topics to help you build robust and reliable apps. Lastly, it explores real-world case studies and examples of Flutter and Dart apps, providing inspiration and guidance for your projects. By the end of the book, you'll be able to build stunning multi-platform mobile apps with Flutter and Dart. WHAT YOU WILL LEARN ● Learn how to design and build user interfaces with Flutter. ● Discover techniques for managing app state and handling data in Flutter. ● Learn how to use Flutter and Dart for network programming and asynchronous programming. ● Get tips for testing and debugging Flutter and Dart apps. ● Explore best practices for optimizing app performance and integrating with native code. WHO THIS BOOK IS FOR This book is for Mobile app developers, Cross-platform developers, and App developers who want to build and deploy cross-platform apps with Flutter and Dart. TABLE OF CONTENTS 1. Introduction to Flutter 2. Installing the Flutter SDK 3. Introduction to Dart 4. Classes and Functions in Dart 5. Introduction to Widgets 6. Using Common Widgets 7. Building Flutter Application 8. Introduction to Packages 9. Building Layouts 10. Flutter Database Concepts
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