fundamentals of data warehousing

Machine Learning Brick by Brick, Epoch 1 - by Dmitry Vostokov (Paperback)

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

Decision Intelligence for Dummies - by Pam Baker (Paperback)

Mastering Salesforce Devops - by Andrew Davis (Paperback)

Visualize This - 2nd Edition by Nathan Yau (Paperback)

Gyrators, Simulated Inductors and Related Immittances - (Materials, Circuits and Devices) (Hardcover)

Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design - (IEEE Press) by Nan Zheng (Hardcover)

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)

Statistics Using Python - by Oswald Campesato (Paperback)

Artificial Intelligence - by Neil Wilkins

Time Series Analysis with Python Cookbook - Second Edition - 2nd Edition by Tarek A Atwan (Paperback)

Deep Learning with R - by Francois Chollet (Paperback)

From Chaos to Clarity - by James Eagle (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)

People Analytics Explained - (HR Skills Guide) by Kinsey Li (Paperback)

Statistics Every Programmer Needs - by Gary Sutton (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)

Statistical Optimization for Geometric Computation - (Dover Books on Mathematics) by Kenichi Kanatani (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)