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 Название: Reinforcement Learning: Industrial Applications of Intelligent Agents, 1st Edition
Автор: Phil Winder, Ph.D.
Издательство: O'Reilly Media
Год: 2021
Страниц: 408
Язык: английский
Формат: pdf (true), epub
Размер: 18.8 MB, 10.1 MB
Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcementand enable a machine to learn by itself. | |
Разместил: Ingvar16 21-08-2021, 15:59 | Комментарии: 0 | Подробнее
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 Название: Qiskit Pocket Guide: Quantum Development with Qiskit (Early Release)
Автор: James L. Weaver
Издательство: O’Reilly Media, Inc.
Год: 2021-08-13
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB
This pocket guide provides software developers with a quick reference to Qiskit, an open source SDK for working with quantum computers. Packed with helpful programming examples, tables, figures, and lists, this handy book helps you find the information you need to develop and debug quantum programs. Whether you're focused on business, engineering, or scientific applications, you'll learn how to choose and apply the appropriate Qiskit classes, methods, and functions. You'll also learn how to use the latest version of the Open Quantum Assembly Language, OpenQASM 3.0. | |
Разместил: Ingvar16 21-08-2021, 15:26 | Комментарии: 0 | Подробнее
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 Название: Machine Learning
Автор: Zhi-Hua Zhou
Издательство: Springer
Год: 2021
Формат: True PDF
Страниц: 460
Размер: 10 Mb
Язык: English
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. | |
Разместил: vitvikvas 21-08-2021, 13:25 | Комментарии: 0 | Подробнее
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 Название: Build Location-Based Projects for iOS: GPS, Sensors, and Maps
Автор: Dominik Hauser
Издательство: Pragmatic Bookshelf
Год: 2020
Формат: True PDF, ePUB
Страниц: 153
Размер: 13 Mb, 10 Mb
Язык: English
Coding is awesome. So is being outside. With location-based iOS apps, you can combine the two for an enhanced outdoor experience. Use Swift to create your own apps that use GPS data, read sensor data from your iPhone, draw on maps, automate with geofences, and store augmented reality world maps. You'll have a great time without even noticing that you're learning. And even better, each of the projects is designed to be extended and eventually submitted to the App Store. Explore, share, and have fun.
Location-based apps are everywhere. From mapping our jogging path to pointing us to the nearest collectible creature in a location-based game, these apps offer useful and interesting features and information related to where you are. Using real-world maps and places as the environment, they add an extra layer of adventure to exploring the outdoors. If you've ever wanted to make your own location-based apps and games, you can learn how with four simple, Swift-based projects that are easy to code and fun to use. | |
Разместил: vitvikvas 21-08-2021, 11:59 | Комментарии: 0 | Подробнее
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 Название: Genetic Algorithms in Elixir: Solve Problems Using Evolution
Автор: Sean Moriarity
Издательство: Pragmatic Bookshelf
Год: 2021
Формат: True PDF, ePUB
Страниц: 235
Размер: 17 Mb
Язык: English
From finance to artificial intelligence, genetic algorithms are a powerful tool with a wide array of applications. But you don't need an exotic new language or framework to get started; you can learn about genetic algorithms in a language you're already familiar with. Join us for an in-depth look at the algorithms, techniques, and methods that go into writing a genetic algorithm. From introductory problems to real-world applications, you'll learn the underlying principles of problem solving using genetic algorithms. | |
Разместил: vitvikvas 21-08-2021, 11:45 | Комментарии: 0 | Подробнее
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 Название: Programming AWS Lambda: Build and Deploy Serverless Applications with Java
Автор: John Chapin, Mike Roberts
Издательство: O'Reilly Media;
Год: 2020
Формат: True PDF, ePUB
Страниц: 278
Размер: 12 Mb, 11 Mb
Язык: English
Serverless revolutionizes the way organizations build and deploy software. With this hands-on guide, Java engineers will learn how to use their experience in the new world of serverless computing. You’ll discover how this cloud computing execution model can drastically decrease the complexity in developing and operating applications while reducing costs and time to market. | |
Разместил: vitvikvas 21-08-2021, 11:32 | Комментарии: 0 | Подробнее
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 Название: Building Cross-Platform Apps using Titanium, Alloy, and Appcelerator Cloud Services
Автор: Aaron Saunders
Издательство: Wiley
Год: 2021
Формат: PDF
Размер: 17 Мб
Язык: английский / English
Skip Objective-C and Java to get your app to market faster, using the skills you already have. Building Cross-Platform Apps using Titanium, Alloy, and Appcelerator Cloud Services shows you how to build cross-platform iOS and Android apps without learning Objective-C or Java. With detailed guidance given toward using the Titanium Mobile Platform and Appcelerator Cloud Services, you will quickly develop the skills to build real, native apps— not web apps—using existing HTML, CSS, and javascript know-how. This guide takes you step-by-step through the creation of a photo-sharing app that leverages the power of Appcelerator's cloud platform, and establishes fundamental concepts before adding advanced techniques. Coverage extends beyond the development process to include expert advice for deployment on the App Store or Google Play, and more. | |
Разместил: black 21-08-2021, 11:08 | Комментарии: 0 | Подробнее
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 Название: Decoding javascript: A Simple Guide for the Not-so-Simple javascript Concepts, Libraries, Tools, and Frameworks
Автор: Rushabh Mulraj Shah
Издательство: BPB Publications
Год: 2021
Формат: True ePUB
Страниц: 370
Размер: 10 Mb
Язык: English
Decoding javascript will take the users on an eventful journey of simplifying and understanding advanced concepts of javascript. Since javascript is the core programming language for almost every interaction on the web, this book will make it easier for readers to develop modern cutting-edge web applications.
The book begins with a quick recap of the fundamental javascript (JS) concepts like the syntax of JS, data types, operators, conditionals, looping, functions, arrays, objects, and so on. The readers will also explore the handy Chrome Developers' Tools.
This book will also help readers learn and implement important concepts like how to connect to the servers, fetching data like images, user information, videos, etc. from the server, and displaying it on the web page. Besides that, users will learn about impactful concepts like testing javascript code, regular expressions, and exploring the popular ES6 and the versions beyond. Most importantly, this book will help you with the best javascript practices followed by companies like Google, Facebook, Twitter, etc. to develop a live application right from scratch | |
Разместил: vitvikvas 21-08-2021, 11:04 | Комментарии: 0 | Подробнее
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 Название: Python Data Visualization Essentials Guide
Автор: Kalilur Rahman
Издательство: BPB Publications
Год: 2021
Формат: True ePUB
Страниц: 366
Размер: 10 Mb
Язык: English
Data visualization plays a major role in solving data science challenges with various capabilities it offers. This book aims to equip you with a sound knowledge of Python in conjunction with the concepts you need to master to succeed as a data visualization expert.
The book starts with a brief introduction to the world of data visualization and talks about why it is important, the history of visualization, and the capabilities it offers. You will learn how to do simple Python-based visualization with examples with progressive complexity of key features. The book starts with Matplotlib and explores the power of data visualization with over 50 examples. It then explores the power of data visualization using one of the popular exploratory data analysis-oriented libraries, Pandas.
The book talks about statistically inclined data visualization libraries such as Seaborn. The book also teaches how we can leverage bokeh and Plotly for interactive data visualization. Each chapter is enriched and loaded with 30+ examples that will guide you in learning everything about data visualization and storytelling of mixed datasets. | |
Разместил: vitvikvas 21-08-2021, 10:44 | Комментарии: 0 | Подробнее
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 Название: Graph-Powered Machine Learning
Автор: Alessandro Negro
Издательство: Manning Publications
Год: 2021
Формат: True PDF
Страниц: 493
Размер: 26,2 Mb
Язык: English
At its core, machine learning is about efficiently identifying patterns and relationships in data. Many tasks, such as finding associations among terms so you can make accurate search recommendations or locating individuals within a social network who have similar interests, are naturally expressed as graphs.
Graph-Powered Machine Learning introduces you to graph technology concepts, highlighting the role of graphs in machine learning and big data platforms. You’ll get an in-depth look at techniques including data source modeling, algorithm design, link analysis, classification, and clustering. As you master the core concepts, you’ll explore three end-to-end projects that illustrate architectures, best design practices, optimization approaches, and common pitfalls. | |
Разместил: vitvikvas 21-08-2021, 10:34 | Комментарии: 0 | Подробнее
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