books on big data

Deep Learning - (Handbook of Statistics) (Hardcover)

Grokking Statistics - by Thomas Nield (Paperback)

Design for Entropy - by Luca M Possati (Paperback)

Digital Halftoning - by Robert Ulichney (Paperback)

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics - by Pradeep N & Sandeep Kautish & Sheng-Lung Peng (Paperback)

Handbook of Computational Visual Media - by Riley Lewis (Hardcover)

The AI Conundrum - by Caleb Briggs & Rex Briggs

Machine Learning: Concepts, Tools and Techniques - by Ivy Wright (Hardcover)

HBR Guide to Data Analytics Basics for Managers - by Harvard Business Review

The Money Revolution - by Anne Boden (Hardcover)

Getting Structured Data from the Internet - by Jay M Patel (Paperback)

Winning in the Robotic Workplace - by John Wasik (Hardcover)

Data Mining Approaches for Big Data and Sentiment Analysis in Social Media - by Brij B Gupta & Dragan Perakovic & Ahmed A Abd El-Latif (Hardcover)

Data-Centric Machine Learning with Python - by Jonas Christensen & Nakul Bajaj & Manmohan Gosada (Paperback)

Evasive Malware - by Kyle Cucci (Paperback)

Mathematical Modeling - by Stefan Heinz

Statistics for Big Data for Dummies - (For Dummies) by Alan Anderson (Paperback)

Fundamentals of Data Base Systems - (MacMillan Computer Science) by S M Deen (Paperback)

B2B Content Marketing Strategy - by Devin Bramhall

Communicating with Data - by Carl Allchin (Paperback)

The Cloud Data Lake - by Rukmani Gopalan (Paperback)

Party Finance and Political Corruption - by R Williams (Hardcover)

The Contrary Forces of Innovation - by T Hoholm (Hardcover)

Practical Apache Spark - by Subhashini Chellappan & Dharanitharan Ganesan (Paperback)