big data ibm

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

Redefining Data Engineering with AI - by Ashok Singamaneni & Sarath Chandra Bandaru & Phani Vemuri & Aditya Chaturvedi (Paperback)

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)

Cuda for Deep Learning - by Elliot Arledge (Paperback)

Learn AI Data Engineering - by David Melillo (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)

Data Labeling in Machine Learning with Python - by Vijaya Kumar Suda (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)

Matrix Factorization for Multimedia Clustering - (Computing and Networks) by Hangjun Che & Xin Wang & Xing He & Man-Fai Leung & Baicheng Pan

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

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

SPSS Statistics for Dummies - 4th Edition by Jesus Salcedo & Keith McCormick (Paperback)

The Developer's Playbook for Large Language Model Security - by Steve Wilson (Paperback)

Grokking Data Structures - by Marcello La Rocca (Paperback)

Advances in Financial Machine Learning - by Marcos Lopez de Prado (Hardcover)

Machine Learning on Kubernetes - by Faisal Masood & Ross Brigoli (Paperback)