Название: Design Computing: An Overview of an Emergent Field
Автор: Brian R. Johnson
Издательство: Routledge
Год: 2017
Страниц: 220
Язык: английский
Формат: pdf (conv), epub
Размер: 10.1 MB

Design Computing will help you understand the rapidly evolving relationship between computing, designers, and the many different environments they create or work in. The book introduces the topic of design computing, and covers the basics of hardware and software, so you don’t need to be an expert. Topics include the fundamentals of digital representation, programming and interfaces for design; the shifting landscape of opportunity and expectation in practice and pedagogy; placing sensors in buildings to measure performance; and the challenge of applying information effectively in design. The book also includes additional reading for those who wish to dig deeper into the subject.

Название: Variational Bayesian Learning Theory
Автор: Shinichi Nakajima, Kazuho Watanabe
Издательство: Cambridge University Press
Год: 2019
Страниц: 561
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Variational Bayesian learning is one of the most popular methods in Machine Learning (ML). Designed for researchers and graduate students in Machine Learning, this book summarizes recent developments in the non-asymptotic and asymptotic theory of variational Bayesian learning and suggests how this theory can be applied in practice. The authors begin by developing a basic framework with a focus on conjugacy, which enables the reader to derive tractable algorithms.

Название: Elementary Synchronous Programming: in C++ and Java via Algorithms
Автор: Ali S. Janfada
Издательство: Walter de Gruyter
Год: 2019
Страниц: 411
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB

Algorithms are the essence of programming. After their construction, they have to be translated to the codes of a specific programming language. There exists a maximum of ten basic algorithmic templates. This textbook aims to provide the reader with a more convenient and efficient method to create a program by translating algorithms, template by template with C++ and Java.

Название: Bayesian Hierarchical Models: With Applications Using R, 2nd Edition
Автор: Peter D. Congdon
Издательство: Chapman and Hall/CRC
Год: 2019
Страниц: 593
Язык: английский
Формат: pdf (true)
Размер: 15.4 MB

An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections. Through illustrative data analysis and attention to statistical computing, this book facilitates practical implementation of Bayesian hierarchical methods. The new edition is a revision of the book Applied Bayesian Hierarchical Methods. It maintains a focus on applied modelling and data analysis, but now using entirely R-based Bayesian computing options.

Название: Programming Basics with C#
Автор(ы): Nakov S.
Издательство: Faber Publishing
Год: 2019
Страниц: 407
Формат: PDF
Размер: 14 Мб
Язык: English

The free book "Programming Basics with C#" is a comprehensive entry level computer programming tutorial for absolute beginners that teaches basics of coding (variables and data, conditional statements, loops and methods), logical thinking and problem solving using the C# language. The book comes with free video lessons for each chapter, 150+ practical exercises with an automated online evaluation system (online judge) and solution guidelines for the exercises.

Название: Python For Data Analysis: A Beginner's Guide to Wrangling and Analyzing Data Using Python
Автор: Clark Wes
Издательство: Amazon.com Services LLC
Год: 2019
Страниц: 121
Язык: английский
Формат: pdf, rtf, epub
Размер: 10.1 MB

Are you looking for a book with in-depth information on data analysis with Python? Do you want to know the basics of programming and know more in a short time? Know the data analysis with an easy and accessible programming language? "Python for Data Analysis" is the book that will give you the information you need to access the basics of programming related to data analysis with Python.

Название: Coding Academy 2019 7th Edition
Автор: Dan Peel (Editor)
Издательство: Future Publishing
Год: 2019
Страниц: 164
Язык: английский
Формат: pdf
Размер: 48.4 MB

Вы держите в руках врата в мир программирования. В эпоху, когда мир онлайн управляет миром, люди, которые могут программировать этот мир, управдяют им. Просто некоторые из самых больших интернет-имен в мире, от создателя Facebook Марка Цукерберга до квартета, который создал Twitter, и основателей Google - Ларри Пейджа и Сергея Брина - они все программисты.

Название: Experiments and Modeling in Cognitive Science: MATLAB, SPSS, Excel and E-Prime
Автор: Fabien Mathy, Mustapha Chekaf
Издательство: ISTE Press - Elsevier
Год: 2018
Формат: True PDF
Страниц: 286
Размер: 15.9 Mb
Язык: English

Software Simulation and Modeling in Psychology: MATLAB, SPSS, Excel and E-Prime describes all the stages of psychology experimentation, from the manipulation of factors, to statistical analysis, data modeling, and automated stimuli creation. The book shows how software can help automate various stages of the experiment for which operations may quickly become repetitive. For example, it shows how to compile data files (instead of opening files one by one to copy and paste), generate stimuli (instead of drawing one by one in a drawing software), and transform and recode tables of data.

Название: Computational Methods for Data Analysis
Автор: Yeliz Karaca, Carlo Cattani
Издательство: de Gruyter
Год: 2018
Страниц: 398
Язык: английский
Формат: True PDF
Размер: 10.1 MB

This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are then used for the processing of real-life data using Matlab.

Название: Statistics and Probability with Applications for Engineers and Scientists, 2nd Edition
Автор: Bhisham C. Gupta, Irwin Guttman, Kalanka P. Jayalath
Издательство: Wiley
Год: 2020
Страниц: 1033
Язык: английский
Формат: pdf (true)
Размер: 62.5 MB

Introduces basic concepts in probability and statistics to data science students, as well as engineers and scientists. Aimed at undergraduate/graduate-level engineering and natural science students, this timely, fully updated edition of a popular book on statistics and probability shows how real-world problems can be solved using statistical concepts. It removes Excel exhibits and replaces them with R software throughout, and updates both MINITAB and JMP software instructions and content. A new chapter discussing data mining―including big data, classification, Machine Learning, and visualization―is featured. Another new chapter covers cluster analysis methodologies in hierarchical, nonhierarchical, and model based clustering.