Information-Theoretic Methods in Data Science, Hardcover - Miguel R. D. Rodrigues

Learn about the state-of-the-art at the interface between information theory and data science with this first unified treatment of the subject. Wri...

DescriptionLearn data science by doing data science Data Science Using Python and R will get you plugged into the world's two most widespread open-...

DescriptionHigh-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to ...

Reducere. This guide shows how to combine data science with social science to gain unprecedented insight into customer behavior, so you can change it. Joanne...

Providing complete coverage of advanced research methods and their implementation in R to increase students' confidence with programming techniques...

Reducere. Contributor(s): Author: Ashutosh R. NandeshwarAuthor: Devine RodgerDiscover the techniques used by the top R programmers to generate data-driven so...

The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods a...

A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniq...

Publisher: Elsevier Science Publishing Co IncIllustration(s): Approx. 100 illustrations; Illustrations, unspecifiedNumber of pages: 596Publication ...

Publisher: Elsevier Science & TechnologyNumber of pages: 292Collection: Hybrid Computational Intelligence for Pattern Analysis and UnderstandingPub...

Reducere. A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastruc...

Reducere. If you want to learn about data science and big data, then keep reading... Two manuscripts in one book: Data Science: What You Need to Know About D...

Reducere. An authoritative guide to the most recent advances in statistical methods for quantifying reliability Statistical Methods for Reliability Data, Sec...

Contributor(s): Author: Hadley WickhamAuthor: Garrett GrolemundLearn how to use R to turn raw data into insight, knowledge, and understanding. This...

Publisher: Elsevier Science Publishing Co IncAuthor(s): Moses Eterigho (Department of Physics, Covenant University, Nigeria) EmetereNumber of pages...

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This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as resear...

DescriptionThis invaluable addition to any data scientist's library shows you how to apply the R programming language and useful statistical techni...

"The book begins by going over the basics of R and the tidyverse. You learn R throughout the book, but in the first part we go over the building bl...

Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the bo...

Reducere. Do you want to expand your skills from being a basic Data Scientist to becoming an expert Data Scientist ready to solve real-world data centric iss...

Reducere. A field guide for the unique challenges of data science leadership, filled with transformative insights, personal experiences, and industry example...

Reducere. In this original and integrated approach to theoretical reasoning in physics, Malcolm Longair illuminates the subject from the perspective of real ...

We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial - it is collected ...

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods a...

The Foundational Hands-On Skills You Need to Dive into Data Science "Freeman and Ross have created the definitive resource for new and aspiring dat...

The R language is widely used by statisticians for data analysis, and the popularity of R programming has therefore increased substantially in rece...

920Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine lear...

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Summary R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on pract...

This book is focused on one of the two major topics of doing data analysis: data visualization, aka, computer graphics. In one place the major R sy...

Publisher: Apple Academic Press Inc.Illustration(s): 46 Illustrations, black and whiteNumber of pages: 282Publication date: 2014Dimensions: 234 x 1...

The book presents selected recent developments in the support of the widely understood rational decision making in organisations, illustrated throu...

Reducere. This text serves as a pedagogical introduction to the theoretical concepts on application of topology in condensed matter systems. It covers an int...

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Legal Data and Information in Practice provides readers with an understanding of how to facilitate the acquisition, management, and use of legal da...

This practical guide covers the essential tasks in statistical data analysis encountered in high energy physics and provides comprehensive advice f...

Reducere. Do you want to learn about data science but aren't in the mood to read a boring textbook?Data science has a huge impact on how companies conduct bu...

Information and how we manage, process and govern it is becoming increasingly important as organizations ride the wave of the big data revolution. ...

Reducere. Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. The ...