big data ibm

Microsoft Dynamics 365 AI for Business Insights - by Dmitry Shargorodsky (Paperback)

The Predictive Enterprise - by Edmund Zagorin (Hardcover)

Business Intelligence with Databricks SQL - by Vihag Gupta (Paperback)

Machines That Think - by Rubén Castillo Sánchez (Paperback)

Predicting Structured Data - (Neural Information Processing) by Gokhan Bakir & Thomas Hofmann & Bernhard Scholkopf (Paperback)

Extending Excel with Python and R - by Steven Sanderson & David Kun (Paperback)

Move First, Align Fast - by Deepika Chopra (Hardcover)

Active Machine Learning with Python - by Margaux Masson-Forsythe (Paperback)

AI Snake Oil - by Arvind Narayanan & Sayash Kapoor

Data-Oriented Programming in Java - by Chris Kiehl (Paperback)

Grokking Machine Learning, Second Edition - by Luis Serrano (Paperback)

Bridging Knowledge, Data, and AI - by Joseph Hilger & Lulit Tesfaye & Zachary Wahl (Paperback)

Enterprise Rag - by Tyler Suard (Paperback)

Microsoft Power BI Cookbook - Third Edition - 3rd Edition by Greg Deckler & Brett Powell (Paperback)

Data, Ai, and Noise - by Derek W Gibson (Paperback)

Machine Learning for Financial Risk Management with Python - by Abdullah Karasan (Paperback)

From Data to Dollars - by Piotr Sidoruk (Paperback)

AWS Certified Machine Learning Engineer Study Guide - (Sybex Study Guide) by Dario Cabianca (Paperback)

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

Applied Natural Language Processing in the Enterprise - by Ankur A Patel & Ajay Uppili Arasanipalai (Paperback)

Taming the Machine - by Nell Watson

Machine Learning and AI with Simple Python and Matlab Scripts - (IEEE Press) by M Umit Uyar (Hardcover)

Cracking the Data Engineering Interview - by Kedeisha Bryan & Taamir Ransome (Paperback)