Название: Doing Data Science in R: An Introduction for Social Scientists
Автор: Mark Andrews
Издательство: SAGE Publications Ltd
Год: 2021
Страниц: 640
Язык: английский
Формат: epub
Размер: 27.4 MB

This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually. The R programming language itself can be extended by interfacing with other programming languages like C, C++, Fortran and Python. In particular, the popular Rcpp package greatly simplifies integrating R with C++, thus allowing fast and efficient C++ code to be used seamlessly within R. Likewise, R can be easily interfaced with high-performance computing or big data tools like Hadoop, Spark, SQL, parallel computing libraries, cluster computing, and so on. Taken together, these points entail that R is an extremely powerful and extensible environment for doing any kind of statistical computing or data analysis.

Название: Granular Video Computing: With Rough Sets, Deep Learning And In Iot
Автор: Debarati Bhunia Chakraborty, Sankar Kumar Pal
Издательство: World Scientific
Год: 2021
Страниц: 256
Язык: английский
Формат: pdf (true), epub
Размер: 52.12 MB, 10.1 MB

This volume links the concept of granular computing using Deep Learning (DL) and the Internet of Things (IoT) to object tracking for video analysis. It describes how uncertainties, involved in the task of video processing, could be handled in rough set theoretic granular computing frameworks. Issues such as object tracking from videos in constrained situations, occlusion/overlapping handling, measuring of the reliability of tracking methods, object recognition and linguistic interpretation in video scenes, and event prediction from videos, are the addressed in this volume. The book also looks at ways to reduce data dependency in the context of unsupervised (without manual interaction/labeled data/prior information) training.

Название: Python All-in-One For Dummies, 2nd Edition
Автор: John Shovic, Alan Simpson
Издательство: For Dummies
Год: 2021
Страниц: 723
Язык: английский
Формат: pdf (true), epub
Размер: 44.9 MB, 41.0 MB

The one-stop resource for all your Python queries. Powerful and flexible, Python is one of the most popular programming languages in the world. It’s got all the right stuff for the software driving the cutting-edge of the development world—machine learning, robotics, artificial intelligence, data science, etc. The good news is that it’s also pretty straightforward to learn, with a simplified syntax, natural-language flow, and an amazingly supportive user community. The latest edition of Python All-in-One For Dummies gives you an inside look at the exciting possibilities offered in the Python world and provides a springboard to launch yourself into wherever you want your coding career to take you.

Название: Go Programming Language For Dummies
Автор: Wei-Meng Lee
Издательство: For Dummies
Год: 2021
Формат: True PDF
Страниц: 339
Размер: 12 Mb
Язык: English

Ready, set, program with Go!
Now is the perfect time to learn the Go Programming Language. It’s one of the most in-demand languages among tech recruiters and developers love its simplicity and power. Go Programming Language For Dummies is an easy way to add this top job skill to your toolkit. Written for novice and experienced coders alike, this book traverses basic syntax, writing functions, organizing data, building packages, and interfacing with APIs.

Название: C How to Program. With an Introduction to C++. Global Edition
Автор: Paul Deitel, Harvey Deitel
Издательство: Pearson International
Год: 2016
Формат: pdf
Страниц: 1006
Размер: 15,4 МБ
Язык: English

C: How to Program is a comprehensive introduction to programming in C. Like other texts of the Deitels’ How to Program series, the book serves as a detailed beginner source of information for college students looking to embark on a career in coding, or instructors and software-development professionals seeking to learn how to program with C.
The Eighth Edition continues the tradition of the signature Deitel “Live Code” approach–presenting concepts in the context of full-working programs rather than incomplete snips of code. This gives students a chance to run each program as they study it and see how their learning applies to real world programming scenarios.

Название: A Software Engineer Learns Java and Object Orientated Programming
Автор: Dane Cameron
Издательство: CreateSpace Independent Publishing Platform
Год: 2015
Формат: epub
Страниц: 325
Размер: 10,4 МБ
Язык: English


Amazon Bestselling author Dane Cameron has worked professionally with Java for the last 16 years, and continues to use Java on a daily basis. In this book he shares the knowledge he has gained over that time, and teaches Java as it should be learned by anyone aspiring to become a professional software engineer, or migrate to Java from other technologies.

Название: Continuous API Management: Making the Right Decisions in an Evolving Landscape, 2nd Edition (Early Release)
Автор: Mehdi Medjaoui, Erik Wilde, Ronnie Mitra
Издательство: O’Reilly Media, Inc.
Год: 2021-04-19
Язык: английский
Формат: epub
Размер: 10.2 MB

A lot of work is required to release an API. But overplanning before an API matures is a wasted investment, and underplanning can lead to disaster. If you're just starting to build an API program and want to understand the work ahead of you, or you need to learn how to manage your existing APIs, this updated second edition provides maturity models for individual APIs and multi-API landscapes.

Название: R for Political Data Science : A Practical Guide
Автор: Francisco Urdinez, Andres Cruz
Издательство: Chapman and Hall/CRC
Серия: The R Series
Год: 2021
Страниц: 461
Язык: английский
Формат: pdf (true)
Размер: 14.8 MB

R for Political Data Science: A Practical Guide is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data. It was written by political scientists, thinking about the many real-world problems faced in their work. The book has 16 chapters and is organized in three sections. The first, on the use of R, is for those users who are learning R or are migrating from another software. The second section, on econometric models, covers OLS, binary and survival models, panel data, and causal inference. The third section is a data science toolbox of some the most useful tools in the discipline: data imputation, fuzzy merge of large datasets, web mining, quantitative text analysis, network analysis, mapping, spatial cluster analysis, and principal component analysis.

Название: Neural Networks for Natural Language Processing (Advances in Computer and Electrical Engineering)
Автор: Sumathi S. (Author, Editor), Janani M. (Editor)
Издательство: IGI Global
Год: 2020
Формат: true pdf/epub
Страниц: 251
Размер: 29.8 Mb
Язык: English

Information in todays advancing world is rapidly expanding and becoming widely available. This eruption of data has made handling it a daunting and time-consuming task. Natural language processing (NLP) is a method that applies linguistics and algorithms to large amounts of this data to make it more valuable. NLP improves the interaction between humans and computers, yet there remains a lack of research that focuses on the practical implementations of this trending approach.

Название: Deep Learning Techniques and Optimization Strategies in Big Data Analytics
Автор: J Joshua Thomas, Pinar Karagoz, B Bazeer Ahamed
Издательство: Engineering Science Reference
Год: 2020
Формат: EPUB, True PDF
Страниц: 381
Размер: 23,9 Mb, 12,3 Mb
Язык: English

Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.