big data ibm

How Large Language Models Can Help Your Search Project - by Alessandro Benedetti (Paperback)

Elements of Data Science - by Allen B Downey (Paperback)

In-Memory Analytics with Apache Arrow - Second Edition - 2nd Edition by Matthew Topol (Paperback)

Machine Learning and Data Science Blueprints for Finance - by Hariom Tatsat & Sahil Puri & Brad Lookabaugh (Paperback)

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

Genai on AWS - (Tech Today) by Asif Abbasi & Olivier Bergeret & Joel Farvault (Paperback)

Python Data Cleaning and Preparation Best Practices - by Maria Zervou (Paperback)

Data Center Handbook - 2nd Edition by Hwaiyu Geng (Hardcover)

Go Programming Language for Dummies - by Wei-Meng Lee (Paperback)

ML and Generative AI in the Data Lakehouse - by Bennie Haelen (Paperback)

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

Grokking Statistics - by Thomas Nield (Paperback)

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

Learn AI Data Engineering - by David Melillo (Paperback)

Build AI Drug Discovery Pipelines - by Noah Flynn (Paperback)

The Data Warehouse Toolkit - 3rd Edition by Ralph Kimball & Margy Ross (Paperback)

Large Language Models: A Deep Dive - by Uday Kamath & Kevin Keenan & Garrett Somers & Sarah Sorenson (Hardcover)

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

Beginning Azure Cognitive Services - by Alicia Moniz & Matt Gordon & Ida Bergum & Mia Chang & Ginger Grant (Paperback)

The Machine Learning Solutions Architect Handbook - Second Edition - by David Ping (Paperback)

Murach's Python for Data Science (2nd Edition) - by Scott McCoy (Hardcover)

Information-Statistical Data Mining - (The Springer International Engineering and Computer Science) by Bon K Sy & Arjun K Gupta (Hardcover)

Data Visualization with Excel Dashboards and Reports - by Dick Kusleika (Paperback)