books on big data

Neural Networks and Deep Learning - 2nd Edition by Charu C Aggarwal (Hardcover)

Dataproc Cookbook - by Narasimha Sadineni & Anuyogam Venkataraman (Paperback)

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

Math for Deep Learning - by Ronald T Kneusel (Paperback)

Statistics Every Programmer Needs - by Gary Sutton (Paperback)

Introduction to Machine Learning - by Jacob Pearson (Hardcover)

Big Data: Concepts, Technology and Architecture - by Felicity Jackson (Hardcover)

Complete Electronics - by Earl Boysen & Harry Kybett (Paperback)

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

Principles of Database Development and Management - by Natalia Crosby (Hardcover)

Data Science Using Python and R - (Wiley Methods and Applications in Data Mining) by Chantal D Larose & Daniel T Larose (Hardcover)

Neuroscience Discoveries - by Edmund T Rolls (Paperback)

Principles of Brain Dynamics - (Computational Neuroscience) by Mikhail I Rabinovich & Karl J Friston & Pablo Varona (Paperback)

Fiber Optic Sensors Sourcebook - by Bob Tucker (Hardcover)

Essentials of Business Analytics - (International Operations Research & Management Science) by Bhimasankaram Pochiraju & Sridhar Seshadri

Math and Architectures of Deep Learning - by Krishnendu Chaudhury (Paperback)

Information Theory for Data Science - by Changho Suh (Hardcover)

Introduction to Ground Penetrating Radar - by Raffaele Persico (Hardcover)

Mobile Computing - by Charles Harper (Hardcover)

Datenbank-Tuning - by Stefan Florczyk (Hardcover)

Data Analysis and Optimization - (Springer Optimization and Its Applications) by Boris Goldengorin & Sergei Kuznetsov (Hardcover)

Deep Learning - by Christopher M Bishop & Hugh Bishop (Hardcover)