Название: Practical Machine Learning in R 1st Edition
Автор: Fred Nwanganga, Mike Chapple
Издательство: Wiley
Год: 2020
Формат: PDF
Страниц: 464
Размер: 12 Mb
Язык: English

Guides professionals and students through the rapidly growing field of machine learning with hands-on examples in the popular R programming language
Machine learning―a branch of Artificial Intelligence (AI) which enables computers to improve their results and learn new approaches without explicit instructions―allows organizations to reveal patterns in their data and incorporate predictive analytics into their decision-making process.

Название: Compression & Encryption: Algorithms & Software
Автор: D. James Benton
Издательство: Independently published
Год: 2019
Страниц: 106
Язык: английский
Формат: pdf, rtf, epub +code
Размер: 10.1 MB

This book covers various algorithms for compression and encryption, some of which overlap, serving both purposes simultaneously. We will discuss why one algorithm works better for one case and not another as well as how different implementations are superior or more robust. All of the algorithms and code are presented in the C programming language and all are available free online.

Название: Mathematical Theories of Machine Learning - Theory and Applications
Автор: Bin Shi, S.S. Iyengar
Издательство: Springer
Год: 2020
Страниц: 138
Язык: английский
Формат: pdf (true), epub
Размер: 15.2 MB

This book studies mathematical theories of Machine Learning (ML). The first part of the book explores the optimality and adaptivity of choosing step sizes of gradient descent for escaping strict saddle points in non-convex optimization problems. In the second part, the authors propose algorithms to find local minima in nonconvex optimization and to obtain global minima in some degree from the Newton Second Law without friction. In the third part, the authors study the problem of subspace clustering with noisy and missing data, which is a problem well-motivated by practical applications data subject to stochastic Gaussian noise and/or incomplete data with uniformly missing entries. In the last part, the authors introduce an novel VAR model with Elastic-Net regularization and its equivalent Bayesian model allowing for both a stable sparsity and a group selection.

Название: Container Security: Fundamental Technology Concepts that Protect Containerized Applications First Edition
Автор: Liz Rice
Издательство: O’Reilly Media
Год: 2020-04-03
Формат: epub/pdf(conv.)
Страниц: 200
Размер: 10.6 Mb
Язык: English

To facilitate scalability and resilience, many organizations now run applications in cloud native environments using containers and orchestration. But how do you know if the deployment is secure? This practical book examines key underlying technologies to help developers, operators, and security professionals assess security risks and determine appropriate solutions.

Название: Quarkus Cookbook: Kubernetes Optimized Java Solutions (Early Release)
Автор: Alex Soto Bueno and Jason Porter
Издательство: O’Reilly Media
Год: 2020-04-13
Формат: epub/pdf(conv.)
Размер: 10.7 Mb
Язык: English

Optimized for Kubernetes, Quarkus is designed to help you create Java applications that are cloud first, container native, and serverless capable. With this cookbook, authors Alex Soto Bueno and Jason Porter from Red Hat provide detailed solutions for installing, interacting with, and using Quarkus in the development and production of microservices.

Название: Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights (Rough Cuts)
Автор: Joanne Rodrigues
Издательство: Addison-Wesley
Год: 2020
Формат: epub
Размер: 12.6 Mb
Язык: English

Product Analytics bridges the divide between high-value business insights and today’s best statistics and machine learning techniques, offering practical qualitative and quantitative techniques to generate actionable insight into customer behavior.

Название: Data mining and machine learning : fundamental concepts and algorithms, Revised Second Edition
Автор: Zaki, Mohammed J.
Издательство: Cambridge University Press
Год: 2020
Формат: PDF
Страниц: 776
Размер: 19.5 Mb
Язык: English

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners.

Название: Data Science for Beginners: 4 Books in 1: Python Programming, Data Analysis, Machine Learning. A Complete Overview for Beginners to Master The Art of Data Science From Scratch Using Python
Автор: Andrew Park
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 513
Язык: английский
Формат: pdf, epub
Размер: 20.6 MB

Master the world of Python, Data Analysis, Machine Learning and Data Science with this comprehensive 4-in-1 bundle. Created with the beginner in mind, this powerful bundle delves into the fundamentals behind Python and Data Science, from basic code and concepts to complex Neural Networks and data manipulation. Inside, you’ll discover everything you need to know to get started with Python and Data Science, and begin your journey to success!

Название: Это просто. Сборник (8 книг+3CD+2DVD)
Автор: Коллектив
Издательство: БХВ Петербург
Год: 2006-2013
Количество книг: 8
Формат: PDF, DjVu+CD+DVD
Размер: 1.74 Gb

Серия изданий, посвященная электронике, схемотехническому проектированию радиоэлектронных устройств, проектированию и технологическим аспектам производства разнообразных микроустройств, основам аналоговой и цифровой схемотехники, и необходимым сведениям об электронных приборах и компонентах, а также об измерительных приборах и многому другому.

Название: Deep Learning: Beginner’s Guide to Learn the Realms of Deep Learning from A-Z
Автор: Rob Stephen
Издательство: Amazon.com Services LLC
Год: 2020
Формат: EPUB, PDF
Страниц: 264
Размер: 10 Mb
Язык: English

This book will help you to understand the realms of Deep Learning from A-Z. In today’s modern world, Deep Learning has taken over the reins of Machine Learning and Artificial Intelligence.
We are all familiar with the term “Deep Learning.” But have you ever wondered what it really is?

This book will cover all the major features of Deep Learning and how you can use it practically with the help of Python language. It has been designed as a guide to master Deep Learning.