fundamentals of data warehousing

Practical Deep Learning, 2nd Edition - by Ronald T Kneusel (Paperback)

Robótica - by Neil Wilkins

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

Mastering Salesforce Devops - by Andrew Davis (Paperback)

High Performance Computing - HIPC 2000 - (Lecture Notes in Computer Science) by Mateo Valero & Viktor K Prasanna & Sriram Vajapeyam (Paperback)

Generative AI for Leaders - by Amir Husain (Hardcover)

The Emerging Science of Machine Learning Benchmarks - by Moritz Hardt (Hardcover)

Splunk 9.x Enterprise Certified Admin Guide - by Srikanth Yarlagadda (Paperback)

Foundations of Cloud Computing - by Robert Shimonski (Paperback)

R in Action, Third Edition - by Robert I Kabacoff (Paperback)

Pattern Recognition with Support Vector Machines - (Lecture Notes in Computer Science) by Seong-Whan Lee & Alessandro Verri (Paperback)

Applied Reinforcement Learning - by Hadi Aghazadeh (Paperback)

Perceptrons, Reissue of the 1988 Expanded Edition with a New Foreword by Léon Bottou - by Marvin Minsky & Seymour A Papert (Paperback)

Artificial Intelligence - by Neil Wilkins (Hardcover)

Polars Cookbook - by Yuki Kakegawa (Paperback)

Postgis in Action, Third Edition - by Leo S Hsu & Regina Obe (Paperback)

Hands-On Financial Modeling with Excel for Microsoft 365 - Second Edition - 2nd Edition by Shmuel Oluwa (Paperback)

Farm Fresh Broadband - (Information Policy) by Christopher Ali (Paperback)

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

Machine Learning Platform Engineering - (From Scratch) by Benjamin Tan Wei Hao & Shanoop Padmanabhan & Varun Mallya (Paperback)

Machine Learning for Experiment Design - by Jashan Jii (Paperback)

Quantization and Fast Inference - by Vivek Kalyanarangan (Paperback)

AI Meets Strategy - by Anshuman Srivastava & Abhinav Garg & Anshuman Mishra (Paperback)

Fight Fraud with Machine Learning - by Ashish Ranjan Jha (Paperback)