Data Analytics - Cuadrado-Gallego, Juan J.

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Résumé :
Building upon the knowledge introduced in The Data Science Framework, this book provides a comprehensive and detailed examination of each aspect of Data Analytics, both from a theoretical and practical standpoint. The book explains representative algorithms associated with different techniques, from their theoretical foundations to their implementation and use with software tools. Designed as a textbook for a Data Analytics Fundamentals course, it is divided into seven chapters to correspond with 16 weeks of lessons, including both theoretical and practical exercises. Each chapter is dedicated to a lesson, allowing readers to dive deep into each topic with detailed explanations and examples. Readers will learn the theoretical concepts and then immediately apply them to practical exercises to reinforce their knowledge. And in the lab sessions, readers will learn the ins and outs of the R environment and data science methodology to solve exercises with the R language.With detailed solutions provided for all examples and exercises, readers can use this book to study and master data analytics on their own. Whether you're a student, professional, or simply curious about data analytics, this book is a must-have for anyone looking to expand their knowledge in this exciting field. The following chapters have contributions by:Chapter 4, Anomaly Detection - Juan J. Cuadrado-Gallego, Yuri Demchenko, Josefa G?mez, and Abdelhamid Tayebi Chapter 5, Unsupervised Classification - Juan J. Cuadrado-Gallego, Yuri Demchenko, and Abdelhamid Tayebi Chapter 6, Supervised Classification - Juan J. Cuadrado-Gallego, Yuri Demchenko, and Josefa G?mez...

Biographie:
Dr. Juan Jos? Associate Professor in the Department of Computer Science at the University of Alcal?, in the area of ??Computer Science and Artificial Intelligence and Affiliate Associate Professor in the Department of Computer Science and Software Engineering, of the Faculty of Engineering and Computer Science, of the Concordia University, in Montreal, Canada. Previously, he was a professor at the Spanish Universities Universitat Oberta de Catalunya, in Barcelona, ??from 2004 to 2016, the University of Valladolid, in Segovia, in 2004, and the Universidad Carlos III de Madrid, in Madrid, between 1997 and 2004. He has been Visiting Associate Professor, in the Department of Software and IT Engineering, of the ?cole de Technologie Sup?rieure, at the Universit? du Qu?bec ? Montr?al, in Montreal, Canada, from 2009 to 2015...

Sommaire:

Contents.- Chapter 1. Introduction to data science and data analytics 1.- 1.1 About Data Science.- 1.2 About the EDISON Project and Data Science Framework.- 1.2.1 The EDISON project.- 1.2.2 The EDISON Data Science Framework.- 1.3 About Data Analytics.- 1.3.1 Data Analytics Competences ...