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Introduction to Data Science

Released on 2017-02-22 by Laura Igual

Author: Laura Igual

Publisher: Springer

ISBN: 9783319500171

Category: Computers

Page: 218

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This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: provides numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; reviews a range of applications of data science, including recommender systems and sentiment analysis of text data; provides supplementary code resources and data at an associated website.

Language: en
Pages: 288

An Introduction to Data Science

Authors: Jeffrey S. Saltz, Jeffrey M. Stanton

Categories: Social Science

Type: BOOK - Published: 2017-08-25 - Publisher: SAGE Publications

An Introduction to Data Science is an easy-to-read, gentle introduction for advanced undergraduate, certificate, and graduate students coming from a wide range of backgrounds into the world of data science. After introducing the basic concepts of data science, the book builds on these foundations to explain data science techniques using

Language: en
Pages: 218

Introduction to Data Science

Authors: Laura Igual, Santi Seguí

Categories: Computers

Type: BOOK - Published: 2017-02-22 - Publisher: Springer

Language: en
Pages: 713

Introduction to Data Science

Authors: Rafael A. Irizarry

Categories: Mathematics

Type: BOOK - Published: 2019-11-12 - Publisher: CRC Press

Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization,

Language: en
Pages:

A Hands-On Introduction to Data Science

Authors: Chirag Shah

Categories: Computers

Type: BOOK - Published: 2020-03-31 - Publisher: Cambridge University Press

This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior knowledge of the subject. The foundational ideas and techniques of data science are provided independently from technology, allowing students to easily develop a firm understanding of the subject

Language: en
Pages: 232

Introduction to Data Science and Machine Learning

Authors: Keshav Sud, Pakize Erdogmus, Seifedine Kadry

Categories: Computers

Type: BOOK - Published: 2020-03-25 - Publisher: BoD – Books on Demand

Introduction to Data Science and Machine Learning has been created with the goal to provide beginners seeking to learn about data science, data enthusiasts, and experienced data professionals with a deep understanding of data science application development using open-source programming from start to finish. This book is divided into four