Название: Practical Weak Supervision: Doing More with Less Data (Final)
Автор: Wee Hyong Tok, Amit Bahree, Senja Filipi
Издательство: O’Reilly Media, Inc.
Год: 2021
Страниц: 200
Язык: английский
Формат: epub
Размер: 10.2 MB

Build products using Deep Learning, weakly supervised learning, and natural language processing without collecting millions of training records. This practical book explains how and provides a how-to guide for actually shipping deep learning models–since most of these projects never leave the lab. Deep networks have enabled new applications using unstructured data to proliferate, but much of the work means collecting millions of records as well as labeled datasets. Author Russell Jurney from Data Syndrome helps machine-learning engineers, software engineers, deep learning engineers, and data scientists learn practical applications using several weakly supervised learning methods.

Название: Multivariate Data Integration Using R: Methods and Applications with the mixOmics Package
Автор: Kim-Anh Le Cao
Издательство: CRC Press
Год: 2022
Страниц: 331
Язык: английский
Формат: pdf (true)
Размер: 21.2 MB

Large biological data, which are often noisy and high-dimensional, have become increasingly prevalent in biology and medicine. There is a real need for good training in statistics, from data exploration through to analysis and interpretation. This book provides an overview of statistical and dimension reduction methods for high-throughput biological data, with a specific focus on data integration. It starts with some biological background, key concepts underlying the multivariate methods, and then covers an array of methods implemented using the mixOmics package in R.

Название: Azure AI Services at Scale for Cloud, Mobile, and Edge: Using Azure Cognitive Services and Machine Learning to Build Apps (Early Release)
Автор: Anand Raman, Chris Hoder, Simon Bisson
Издательство: O’Reilly Media, Inc.
Год: 2021-09-27
Язык: английский
Формат: pdf, epub
Размер: 10.19 MB

Whether you're a student planning to focus on AI or an experienced software engineer with an idea for the next viral AI app, or if you want to make a business process smarter by getting AI to do some of the work, this book's got you covered. Authors Anand Raman, Chris Hoder, Simon Bisson, and Mary Branscombe show you how to build practical intelligent applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Machine Learning now powers the Internet of Things, helps businesses analyze their present and predict their future, and assist consumers with everything from healthcare to gaming. Building AI into your applications and workflow is an option for an increasingly wide spectrum of users too.

Название: Introduction to 3D Game Programming with DirectX 12
Автор: Frank D. Luna
Издательство: Mercury Learning & Information
Год: 2016
Формат: PDF, EPUB
Страниц: 859
Размер: 23.37 MB
Язык: English

This updated bestseller provides an introduction to programming interactive computer graphics, with an emphasis on game development using DirectX 12. The book is divided into three main parts: basic mathematical tools, fundamental tasks in Direct3D, and techniques and special effects. It shows how to use new Direct12 features such as command lists, pipeline state objects, descriptor heaps and tables, and explicit resource management to reduce CPU overhead and increase scalability across multiple CPU cores.

Название: Explainable Natural Language Processing
Автор: Anders Søgaard
Издательство: Morgan & Claypool
Год: 2021
Страниц: 124
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book presents a taxonomy framework and survey of methods relevant to explaining the decisions and analyzing the inner workings of Natural Language Processing (NLP) models. The book is intended to provide a snapshot of Explainable NLP, though the field continues to rapidly grow. The book is intended to be both readable by first-year M.Sc. students and interesting to an expert audience. The book opens by motivating a focus on providing a consistent taxonomy, pointing out inconsistencies and redundancies in previous taxonomies. It goes on to present (i) a taxonomy or framework for thinking about how approaches to explainable NLP relate to one another; (ii) brief surveys of each of the classes in the taxonomy, with a focus on methods that are relevant for NLP; and (iii) a discussion of the inherent limitations of some classes of methods, as well as how to best evaluate them. Finally, the book closes by providing a list of resources for further research on explainability.

Название: Coding Projects in Flutter: A Hands-On, Project-Based Introduction to Mobile App Development
Автор: Edward Thornton
Издательство: ‎Street Genius Publishing
Год: 2021
Страниц: 252
Язык: английский
Формат: epub
Размер: 10.1 MB

You can build your first app in Flutter today―no experience necessary! Flutter is a dream come true for app developers all over the world. With Google's open source tools, you can quickly create stunning cross-platform apps from a single codebase. This versatility allows you to reach the largest potential audience with your work. With thousands of developers using Flutter around the world in a market where billions of apps are downloaded each year, now is the best moment to get ahead of the curve with this great tool. Flutter is a simple, high-performance framework based on Dart language. It provides excellent performance for the simple reason that it renders UI directly on Canvas rather than through the native framework. I find it all really fascinating, and I've tried my best to capture what I feel are the essentials of this vast subject in this book. Since it is impossible to condense all there is to Flutter in one book, I’ve also shared links to websites and resources you can visit for any further information you might need.

Название: Конкурентность и параллелизм на платформе .NET (2019)
Автор(ы): Террелл Рикардо
Издательство: Питер
Год: 2019
Страниц: 624
Формат: PDF
Размер: 41 Мб
Язык: русский


Книга «Конкурентность и параллелизм на платформе .NET» дает представление о рекомендуемых методах создания конкурентных и масштабируемых программ в .NET, освещая преимущества функциональной парадигмы и предоставляя соответствующие инструменты и принципы, позволяющие легко и правильно поддерживать конкурентность. В итоге, вооружившись новыми навыками, вы получите знания, необходимые для того, чтобы стать экспертом в предоставлении успешных высокопроизводительных решений.

Название: Data Visualization on the Web with Python and jаvascript: Scrape, Clean & Transform Your Data, 2nd Edition (Early Release)
Автор: Kyran Dale
Издательство: O’Reilly Media, Inc.
Год: 2021-09-29
Страниц:
Язык: английский
Формат: epub
Размер: 10.1 MB

How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts--as well as Python and jаvascript developers--how to create the ideal toolchain for the job. By providing engaging examples and stressing hard-earned best practices, this guide teaches you how to leverage the power of best-of-breed Python and jаvascript libraries.

Название: Software Patterns Made Easy
Автор: Justice Nanhou
Издательство: IT Beratung (Verlag)
Год: 2021
Страниц: 202
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Design patterns are just as complicated as writing code. They are solutions to a class of problems readily available for use for your code. Design patterns also allow you to share solutions other programmers have discovered. If you are ever writing code and get the funny feeling that you have solved the problem you were working on before, you probably have! You might well have come across the same kind of situation in the past, felt puzzled about it, and came up with a solution to that problem. This might have happened quite a few times. However, why keep reinventing the wheel? Why don't you just write down your solutions and refer back to it as needed? That is what design patterns are all about. A design pattern represents a solution to the problem or a class of problems that one can put to work at once in your code. As a matter of fact, design patterns go one step further: they also help you share the solutions discovered by other programmers.

Название: Artificial Intelligence in Agriculture
Автор: Rajesh Singh, Anita Gehlot
Издательство: CRC Press
Год: 2022
Страниц: 187
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book is a platform for anyone who wishes to explore Artificial Intelligence (AI) in the field of agriculture from scratch or broaden their understanding and its uses. This book offers a practical, hands-on exploration of Artificial Intelligence, Machine Learning (ML), Deep Learning (DL), computer vision and Expert system with proper examples to understand. This book also covers the basics of Python with example so that any anyone can easily understand and utilize Artificial Intelligence in agriculture field.