This book provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, authors Peter Bühlmann, Petros Drineas, Michael Kane and Mark van der Laan present a carefully curated collection of techniques from both industry and academia. The text is designed to instill a working understanding of key statistical and computing ideas that can be readily applied in research and practice.

Authors: Peter Bühlmann, Petros Drineas, Michael Kane and Mark van der Laan
Publisher: Chapman & Hall/CRC Press
Date: August 2019
Pages: 480
ISBN: 978-0367330736
Print: 1482249073
Kindle: B01BV3YV36
Audience: Developers/Students interested in big data
Level: Intermediate/Advanced
Category: Data Science 

• Describes modern, scalable approaches for analyzing increasingly large datasets
• Defines the underlying concepts of the available analytical tools and techniques
• Details intercommunity advances in computational statistics and machine learning

For recommendations of Data science books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.