Название: Introducing Microsoft Teams: Understanding the New Chat-Based Workspace in Office 365
Автор: Balu N Ilag
Издательство: Apress
ISBN: 1484235665
Год: 2018
Страниц: 337
Язык: английский
Формат: pdf (true), epub
Размер: 24.1 MB

Gain industry best practices from planning to implementing Microsoft Teams and learn how to enable, configure, and integrate user provisioning, management, and monitoring. This book also covers troubleshooting Teams with step-by-step instructions and examples. Introducing Microsoft Teams gives you the comprehensive coverage you need to creatively utilize Microsoft Teams services. The author starts by giving an introduction to Microsoft Teams and its architecture followed by optimizing the Teams experience where he describes how organizations can prepare for Teams and enhance existing services. He further shows you how to manage and control the Microsoft Teams experience along with its capabilities and enhancements.

Название: Azure Machine Learning Development: 1 Basic Concepts (Видеокурс)
Автор: Sahil Malik
Издательство: Lynda
Год: 2018
Видео: H264 MP4 AVC, 1280x720
Аудио: AAC 48000 KHz 2 Ch
Продолжительность: 01:01:16
Размер: 150,9 mb
Язык: English

This introductory course provides an overview of the basic concepts underlying Azure Machine Learning.

Название: Fundamentals of Computer Programming with C#: The Bulgarian C# Book
Автор: Svetlin Nakov, Veselin Kolev & Co.
Год: 2013
Формат: PDF
Страниц: 1122
Размер: 11.1 МБ
Язык: English

This book is designed specifically to teach you to think like a programmer and the C# language is just a tool that can be replaced by any other modern programming languages, such as Java, C++, PHP or Python. This is a book on programming, not a book on C#!

Название: Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Автор: Foster Provost, Tom Fawcett
Издательство: O'Reilly Media
Год: 2013
Страниц: 414
Формат: PDF, EPUB
Размер: 30 Mb
Язык: English

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.

Название: Excel 2013: The Missing Manual
Автор: Matthew MacDonald
Издательство: O'Reilly Media
Год: 2013
Формат: PDF
Страниц: 1020
Для сайта: vtome.ru
Размер: 27 Mb
Язык: English
The world’s most popular spreadsheet program is now more powerful than ever, but it’s also more complex. That’s where this Missing Manual comes in. With crystal-clear explanations and hands-on examples, Excel 2013: The Missing Manual shows you how to master Excel so you can easily track, analyze, and chart your data. You’ll be using new features like PowerPivot and Flash Fill in no time.
The important stuff you need to know:

Название: An Introduction to Metaheuristics for Optimization
Автор: Bastien Chopard, Marco Tomassini
Издательство: Springer
Год: 2018
Страниц: 226
Формат: PDF
Размер: 10 Mb
Язык: English

The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and researchers and in their explanations they demonstrate many shared foundational concepts among the key methodologies.
This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.

Название: Learning from Imbalanced Data Sets
Автор: Alberto Fern?ndez
Издательство: Springer
Год: 2018
Страниц: 377
Формат: PDF, EPUB
Размер: 39 Mb
Язык: English

This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and focuses on its main features, and the most relevant proposed solutions. Additionally, it considers the different scenarios in Data Science for which the imbalanced classification can create a real challenge.

Название: Embedded System Design: Introduction to SoC System Architecture
Автор: Mohit Arora
Издательство: Learning Bytes Publishing
Год: 2016
ISBN: 978-0-9972972-0-1
Формат: PDF, DJVU
Страниц: 213
Размер: 10.82 МБ
Язык: English

The book's aim is to highlight all the complex issues, tasks and techniques that must be mastered by a SoC Architect to define and architect SoC for an embedded application. This book is primary focused on real problems with emphasis on architectural techniques across various aspects of chip-design, especially in context to embedded systems.

Название: Machine Learning: An Algorithmic Perspective, 2nd Edition
Автор: Stephen Marsland
Издательство: Chapman and Hall/CRC
Год: 2015
Страниц: 457
Формат: PDF
Размер: 10 Mb
Язык: English

A Proven, Hands-On Approach for Students without a Strong Statistical Foundation
Since the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical interpretations of machine learning algorithms. Unfortunately, computer science students without a strong statistical background often find it hard to get started in this area.

Название: Programming Massively Parallel Processors: A Hands-on Approach, 3rd Edition
Автор: David B. Kirk, Wen-mei W. Hwu
Издательство: Morgan Kaufmann
Год: 2017
Страниц: 576
Формат: PDF
Размер: 24 Mb
Язык: English

Programming Massively Parallel Processors: A Hands-on Approach, Third Edition shows both student and professional alike the basic concepts of parallel programming and GPU architecture, exploring, in detail, various techniques for constructing parallel programs.
Case studies demonstrate the development process, detailing computational thinking and ending with effective and efficient parallel programs. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in-depth.
For this new edition, the authors have updated their coverage of CUDA, including coverage of newer libraries, such as CuDNN, moved content that has become less important to appendices, added two new chapters on parallel patterns, and updated case studies to reflect current industry practices.