Название: Computational and Inferential Thinking
Автор: David Wagner , Henry Milner
Издательство: Berkeley University
Год: 2017
Формат: pdf
Страниц: 646
Размер: 26.1 mb.
Язык: English

Data Science is about drawing useful conclusions from large and diverse data sets through exploration, prediction, and inference. Exploration involves identifying patterns in information. Prediction involves using information we know to make informed guesses about values we wish we knew. Inference involves quantifying our degree of certainty: will those patterns we found also appear in new observations? How accurate are our predictions? Our primary tools for exploration are visualizations and descriptive statistics, for prediction are machine learning and optimization, and for inference are statistical tests and models

Название: Category Theory for Programmers
Автор: Bartosz Milewski
Издательство: Autoedici?n
Год: 2017
Формат: pdf
Страниц: 510
Размер: 12.8 mb.
Язык: English

For some time now I’ve been floating the idea of writing a book about category theory that would be targeted at programmers. Mind you, not computer scientists but programmers — engineers rather than scientists. I know this sounds crazy and I am properly scared. I can’t deny that there is a huge gap between science and engineering because I have worked on both sides of the divide. But I’ve always felt a very strong compulsion to explain things. I have tremendous admiration for Richard Feynman who was the master of simple explanations. I know I’m no Feynman, but I will try my best. I’m starting by publishing this preface — which is supposed to motivate the reader to learn category theory — in hopes of starting a discussion and soliciting feedback.

Название: Developing Turn-Based Multiplayer Games: with GameMaker Studio 2 and NodeJS
Автор: Yadu Rajiv
Издательство: Apress
Год: 2019
Страниц: 206
Формат: PDF, EPUB
Размер: 10 Mb
Язык: English

Create your first turn-based multiplayer game using GameMaker Studio 2’s built-in networking functions as well as using a simple NodeJS server. This book introduces you to the complexities of network programming and communication, where the focus will be on building the game from the ground up.

Название: ReportLab: PDF Processing with Python
Автор: Michael Driscoll
Издательство: Leanpub
ISBN: 1983154547
Год: 2018
Страниц: 428
Язык: английский
Формат: epub, pdf (conv) +code
Размер: 10.7 MB

ReportLab has been around since the year 2000 and has remained the primary package that Python developers use for creating reports in the PDF format. It is an extremely powerful package that works across all the major platforms. This book will also introduce the reader to other Python PDF packages.

Название: SafeScrum® – Agile Development of Safety-Critical Software
Автор: Geir Kjetil Hanssen
Издательство: Springer
Год: 2018
Страниц: 233
Формат: PDF, EPUB
Размер: 10 Mb
Язык: English

This book addresses the development of safety-critical software and to this end proposes the SafeScrum® methodology. SafeScrum® was inspired by the agile method Scrum, which is extensively used in many areas of the software industry. Scrum is, however, not intended or designed for use with safety-critical systems; hence the authors propose guidelines and additions to make it both practically useful and compliant with the additional requirements found in safety standards.

Название: Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods
Автор: Sarah Vluymans
Издательство: Springer
Год: 2019
Страниц: 249
Формат: PDF, EPUB
Размер: 13 Mb
Язык: English

This book presents novel classification algorithms for four challenging prediction tasks, namely learning from imbalanced, semi-supervised, multi-instance and multi-label data. The methods are based on fuzzy rough set theory, a mathematical framework used to model uncertainty in data. The book makes two main contributions: helping readers gain a deeper understanding of the underlying mathematical theory; and developing new, intuitive and well-performing classification approaches. The authors bridge the gap between the theoretical proposals of the mathematical model and important challenges in machine learning.

Название: Practical Guide to Salesforce Communities: Building, Enhancing, and Managing an Online Community with Salesforce Community Cloud
Автор: Philip Weinmeister
Издательство: Apress
ISBN: 1484236084
Год: 2018
Страниц: 357
Язык: английский
Формат: pdf (true), epub
Размер: 54.8 MB

Whether you are brand new to the world of Salesforce communities or you are looking to take your Community Cloud knowledge to the next level, this detailed guide will help you to build and manage a Salesforce community by leveraging the declarative power of the platform with clicks, not code. Each Salesforce community is a part of a widespread ecosystem, with thousands of communities and millions of users active today on Community Cloud. Through valuable social and business tools, this online platform enables companies to empower and equip their customers, partners, and employees in new, powerful ways.

Название: Big Data in Computational Social Science and Humanities
Автор: Shu-Heng Chen
Издательство: Springer
Год: 2018
Страниц: 388
Формат: PDF
Размер: 12 Mb
Язык: English

This edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and social media data, and exemplifies their concrete applications in a wide range of fields including anthropology, economics, finance, geography, history, linguistics, political science, psychology, public health, and mass communications.

Название: Parallel Computing for Data Science: With Examples in R, C++ and CUDA
Автор: Norman Matloff
Издательство: Chapman and Hall/CRC
Год: 2016
Страниц: 328
Формат: PDF
Размер: 10 Mb
Язык: English

Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic "n observations, p variables" matrix format but also from time series, network graph models, and numerous other structures common in data science. The examples illustrate the range of issues encountered in parallel programming.

Название: Cloud Computing Using Oracle Application Express: Develop Internet-Facing Business Applications Accessible Anywhere and Anytime, 2nd Edition
Автор: Riaz Ahmed
Издательство: Apress
Год: 2019
Страниц: 341
Формат: PDF, EPUB
Размер: 11 Mb
Язык: English

Get the domain knowledge you need to develop real-world business apps for and in the cloud. You’ll see how Oracle APEX has made the life of web developers much easier and how it helps you create web-based data-centric applications easily and instantly without writing screeds of code.