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Introduction to Statistics Through Resampling Methods and R
Introduction to Statistics Through Resampling Methods and R
A highly accessible alternative approach to basic statistics Praise for the First Edition:  "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see . . . it would make a good nightstand book for every statistician."?Technometrics 

Written in a
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Applied Bayesian Statistics: With R and OpenBUGS Examples (Springer Texts in Statistics)
Applied Bayesian Statistics: With R and OpenBUGS Examples (Springer Texts in Statistics)

This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs  in Statistics, Biostatistics, Engineering, Economics,...

Soft Computing for Data Mining Applications (Studies in Computational Intelligence)
Soft Computing for Data Mining Applications (Studies in Computational Intelligence)
The authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. The monograph gives an insight into the research in the ?elds of Data Mining in combination with Soft Computing methodologies. In these days, the data continues to grow - ponentially. Much of the data is implicitly or explicitly...
Internet of Things and Data Analytics Handbook
Internet of Things and Data Analytics Handbook

This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view.

Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing...

Data Mining for Social Network Data (Annals of Information Systems)
Data Mining for Social Network Data (Annals of Information Systems)

Driven by counter-terrorism efforts, marketing analysis, and the explosion in on-line social networking, data mining has moved to the top of the agenda in information science. This book presents a broad range of recent studies in social networking analysis.

 

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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most...

Mastering Structured Data on the Semantic Web: From HTML5 Microdata to Linked Open Data
Mastering Structured Data on the Semantic Web: From HTML5 Microdata to Linked Open Data

A major limitation of conventional web sites is their unorganized and isolated contents, which is created mainly for human consumption. This limitation can be addressed by organizing and publishing data, using powerful formats that add structure and meaning to the content of web pages and link related data to one another. Computers can...

Architects of Intelligence: The truth about AI from the people building it
Architects of Intelligence: The truth about AI from the people building it

Financial Times Best Books of the Year 2018

TechRepublic Top Books Every Techie Should Read

Book Description

How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level...

Modern Analysis of Customer Surveys: with Applications using R
Modern Analysis of Customer Surveys: with Applications using R
Customer survey studies deals with customers, consumers and user satisfaction from a product or service. In practice, many of the customer surveys conducted by business and industry are analyzed in a very simple way, without using models or statistical methods. Typical reports include descriptive statistics and basic graphical displays. As...
Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems
Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner....

JavaScript(TM) Phrasebook
JavaScript(TM) Phrasebook
Developers are hungry for a concise, easy-to-use reference that puts essential code "phrases" at their fingertips. JavaScript, and the related AJAX, is hot and there is little to no information on how to use JavaScript to develop AJAX-based applications. While there are many JavaScript books on the market, most of them are dated and few...
Disruption by Design: How to Create Products that Disrupt and then Dominate Markets
Disruption by Design: How to Create Products that Disrupt and then Dominate Markets

From Eli Whitney to Henry Ford to Ray Kroc to Steve Jobs, market disruptors have reaped the benefits, including fame and fortune. But do you have to be that rare genius whose unique skills can literally change the world? No. Disrupting a market is a discipline that can be learned. Disruption by Design—a handbook for...

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