English | 2021 | ISBN: 0367685566 | 167 pages | True PDF | 15.03 MB
Many governments around the world are calling for the use of biometric systems to provide crucial societal functions, consequently making it an urgent area for action. The current performance of some biometric systems in terms of their error rates, robustness, and system security may prove to be inadequate for large-scale applications to process millions of users at a high rate of throughput.
This book focuses on fusion in biometric systems. It discusses the present level, the limitations, and proposed methods to improve performance. It describes the fundamental concepts, current research, and security-related issues. The book will present a computational perspective, identify challenges, and cover new problem-solving strategies, offering solved problems and case studies to help with reader comprehension and deep understanding.

English | 2021 | ISBN: 1138618454 | 327 pages | True PDF | 12.94 MB
Mixed-mode surveys have become a standard at many statistical institutes. However, the introduction of multiple modes in one design goes with challenges to both methodology and logistics. Mode-specific representation and measurement differences become explicit and demand for solutions in data collection design, questionnaire design, and estimation. This is especially true when surveys are repeated and are input to long time series of official statistics. So how can statistical institutes deal with such changes? What are the origins of mode-specific error? And how can they be dealt with? In this book, the authors provide answers to these questions, and much more.
Features

English | 2021 | ISBN: 9811519668 | 460 pages | pdf, epub | 44.86 MB
Machine Learning, a vital and core area of artificial intelligence (AI), is propelling the AI field ever further and making it one of the most compelling areas of computer science research. This textbook offers a comprehensive and unbiased introduction to almost all aspects of machine learning, from the fundamentals to advanced topics. It consists of 16 chapters divided into three parts: Part 1 (Chapters 1-3) introduces the fundamentals of machine learning, including terminology, basic principles, evaluation, and linear models; Part 2 (Chapters 4-10) presents classic and commonly used machine learning methods, such as decision trees, neural networks, support vector machines, Bayesian classifiers, ensemble methods, clustering, dimension reduction and metric learning; Part 3 (Chapters 11-16) introduces some advanced topics, covering feature selection and sparse learning, computational learning theory, semi-supervised learning, probabilistic graphical models, rule learning, and reinforcement learning. Each chapter includes exercises and further reading, so that readers can explore areas of interest.
The book can be used as an undergraduate or postgraduate textbook for computer science, computer engineering, electrical engineering, data science, and related majors. It is also a useful reference resource for researchers and practitioners of machine learning.

English | 2021 | ISBN: 1119768853 | 305 pages | PDF, True EPUB | 21.42 MB
Machine Learning Algorithmsis for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It talks entirely about the various applications of machine and deep learning techniques, with each chapter dealing with a novel approach of machine learning architecture for a specific application, and then compares the results with previous algorithms.
The book discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, sentiment analysis, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the user can easily move from the equations in the book to a computer program.

English | 2021 | ASIN : B09D3NLGF1 | 50 pages | PDF, AZW3, EPUB, MOBI | 23.79 MB
This book is loaded with fresh ideas, timesaving tips, and tiny tweaks to help you optimize every area of your life. Whether you are looking to live smarter, be more productive, or simply find better ways of doing things, this book is for you. These helpful hacks are organized into the following categories: Home, work, health, beauty, clothing.
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English | 2021 | ASIN : B09D1LLM67 | 31 pages | PDF, AZW3, EPUB, MOBI | 1.53 MB
Small Spanish course on Amazon.
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English | 2021 | ISBN: B09CG7S9WJ | 151 pages | PDF EPUB AZW3| 10.25 MB
Learn How to Program Through Deno and TypeScript walks you through the initial steps of programming up to more advanced techniques used by professional programmers. This book serves as an introduction to non-programmers into the world of programming.
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English | 2021 | ISBN: B09BZRKM4T | 155 pages | PDF EPUB AZW3 | 12.13 MB
Welcome to this book on Laravel PHP Framework Handbook.
Laravel is one of the the most popular option among PHP developers these days. In this course you will Learn the basic concepts, functions that you will need to build fully functional programs with the popular framework, Laravel.

English | 2021 | ASIN : B09D71T9JQ | 52 pages | PDF, AZW3, EPUB, MOBI | 25.39 MB
Knot tying has always been one of those key outdoor skills that the inexperienced take for granted. The experienced outdoorsman, however, has had enough success and failure to know that there are right and wrong knots for certain jobs. A good knot can save lives when you're dealing with a survival situation, performing first aid, and when working over heights or water. But, you have to know how to tie it. So make sure you know what to do with your rope the next time you head into the wild by learning these essential knots.
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English | 2021 | ASIN : B09D924F2N | 93 pages | PDF, AZW3, EPUB, MOBI | 6.95 MB
IELTS Writing Task 1+ 2 Samples: All Samples in 1- Bar Charts, Pie Charts , Line Charts, Graph, Diagrams, Table Charts .... Over 50 High-Quality Model Essays for Your Reference to achieve a High Band Score 7.0 to 8.0+ In 2 Weeks!