books on big data

Beautiful Math - by Chris Bernhardt (Hardcover)

Data Engineering Best Practices - by Richard J Schiller & David Larochelle (Paperback)

I Heart Logs - by Jay Kreps (Paperback)

Statistics Every Programmer Needs - by Gary Sutton (Paperback)

Hacking Artificial Intelligence - by Davey Gibian (Hardcover)

Jumpstart Snowflake - 2nd Edition by Dmitry Anoshin & Dmitry Foshin & Donna Strok (Paperback)

A Billion Little Pieces - (Infrastructures) by Jordan Frith (Paperback)

Digital Culture Shock - by Katharina Reinecke (Hardcover)

Mongodb: The Definitive Guide - 3rd Edition by Shannon Bradshaw & Eoin Brazil & Kristina Chodorow (Paperback)

Artificial Intelligence - by Gerhard Paaß & Dirk Hecker (Hardcover)

Build a Career in Data Science - by Emily Robinson & Jacqueline Nolis (Paperback)

Data Science: The Hard Parts - by Daniel Vaughan (Paperback)

Cisco Networking All-In-One for Dummies - 2nd Edition by Edward Tetz (Paperback)

Deep Learning with Pytorch - by Eli Stevens & Luca Antiga & Thomas Viehmann (Paperback)

Data Pipelines with Apache Airflow, Second Edition - by Julian de Ruiter & Ismael Cabral & Kris Geusebroek & Daniel Van Der Ende & Bas Harenslak

Python Deep Learning - Third Edition - 3rd Edition by Ivan Vasilev (Paperback)

Electronics All-In-One for Dummies, UK Edition - by Dickon Ross & Doug Lowe (Paperback)

From Data to Dollars - by Piotr Sidoruk (Paperback)

Deep Learning for Time Series Cookbook - by Vitor Cerqueira & Luís Roque (Paperback)

Dataset Shift in Machine Learning - (Neural Information Processing) (Paperback)

Machine Learning for Physics and Astronomy - by Viviana Acquaviva (Paperback)

Deep Learning with TensorFlow and Keras - Third Edition - 3rd Edition by Amita Kapoor & Antonio Gulli & Sujit Pal (Paperback)

Machine Learning for Imbalanced Data - by Kumar Abhishek & Mounir Abdelaziz (Paperback)

Building Secure and Reliable Systems - by Heather Adkins & Betsy Beyer & Paul Blankinship & Piotr Lewandowski & Ana Oprea & Adam Stubblefield