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.

Название: Computational Thinking (The MIT Press Essential Knowledge series)
Автор: Peter J. Denning, Matti Tedre
Издательство: MIT Press
Год: 2019
Страниц: 264
Язык: английский
Формат: pdf (conv), rtf, epub
Размер: 10.1 MB

A computer revolution is truly upon us. How shall we think about all this? What do we need to understand about computers? What must we do to put a computer to work for us? How do computers shape the way we see the world? What is the role of programming? Computational thinking (here abbreviated CT) offers some answers to these questions. Much of CT is specifically oriented on figuring out how to get a computer to do a job for us - how to control a complex electronic device to do a job reliably without causing damage or harm. Algorithms are the procedures that specify how the computer should do a job. Although humans can carry out algorithms, they cannot do so nearly as fast as a machine; modern computers can do a trillion steps in the time it takes a human to do one step. The magic is nothing more than a machine executing large numbers of very simple computations very fast. Programs are the bridge: algorithms encoded in special-purpose languages that translate to machine instructions that control a computer.

Название: Machine Learning, Optimization, and Data Science: 5th International Conference
Автор: Giuseppe Nicosia, Panos Pardalos, Renato Umeton, Giovanni Giuffrida, Vincenzo Sciacca
Издательство: Springer
Год: 2019
Формат: PDF
Страниц: 772
Размер: 51 Mb
Язык: English

This book constitutes the post-conference proceedings of the 5th International Conference on Machine Learning, Optimization, and Data Science, LOD 2019, held in Siena, Italy, in September 2019. The 54 full papers presented were carefully reviewed and selected from 158 submissions. The papers cover topics in the field of machine learning, artificial intelligence, reinforcement learning, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.

Название: High-Performance and Time-Predictable Embedded Computing
Автор: Luis Miguel Pinho, Eduardo Quinones, Marko Bertogna
Издательство: River Publishers
Год: 2018
Страниц: 236
Язык: английский
Формат: pdf (true)
Размер: 23.3 MB

Nowadays, the prevalence of computing systems in our lives is so ubiquitous that we live in a cyber-physical world dominated by computer systems, from pacemakers to cars and airplanes. These systems demand for more computational performance to process large amounts of data from multiple data sources with guaranteed processing times. Actuating outside of the required timing bounds may cause the failure of the system, being vital for systems like planes, cars, business monitoring, e-trading, etc. High-Performance and Time-Predictable Embedded Computing presents recent advances in software architecture and tools to support such complex systems, enabling the design of embedded computing devices which are able to deliver high-performance whilst guaranteeing the application required timing bounds.