A Hands-On Introduction to Data Science

Chirag Shah

ISBN 10: 1108472443 / ISBN 13: 9781108472449

Editore: Cambridge University Pr. Apr 2020, 2020

Riguardo questo articolo

Neuware -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 without a strong technical background, as well as being presented with material that will have continual relevance even after tools and technologies change. Using popular data science tools such as Python and R, the book offers many examples of real-life applications, with practice ranging from small to big data. A suite of online material for both instructors and students provides a strong supplement to the book, including datasets, chapter slides, solutions, sample exams and curriculum suggestions. This entry-level textbook is ideally suited to readers from a range of disciplines wishing to build a practical, working knowledge of data science.

Codice articolo 9781108472449

Dati bibliografici

• Titolo: A Hands-On Introduction to Data Science
• Editore: Cambridge University Pr. Apr 2020
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 1108472443
• ISBN 13: 9781108472449
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 251 L x 194 A x 27 P (millimetri) 251 millimetri di larghezza per 194 millimetri di altezza per 27 millimetri di profondità
• Peso: 1150 grammi

Descrizione articolo

Riassunto

An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.

Informazioni sull?autore

Chirag Shah is an Associate Professor of Information and Computer Science at Rutgers University, New Jersey. He investigates issues of search and recommendations using data mining and machine learning. Dr Shah received his M.S. in Computer Science from the University of Massachusetts, Amherst, and his Ph.D. in Information Science from the University of North Carolina, Chapel Hill. He directs the InfoSeeking Lab, supported by awards from the National Science Foundation, the National Institute of Health, the Institute of Museum and Library Services, as well as Amazon, Google, and Yahoo. He was a Visiting Research Scientist at Spotify and has served as a consultant to the United Nations Data Analytics on various data science projects. He is currently working on large-scale e-commerce data and machine learning problems as Amazon Scholar.