fundamentals of data warehousing

Llms and Generative AI for Healthcare - by Kerrie Holley & Manish Mathur (Paperback)

Sutskever's List - by Richard Heimann (Paperback)

Statistical Tableau - by Ethan Lang (Paperback)

The Mathematics of Information Coding, Extraction and Distribution - (IMA Volumes in Mathematics and Its Applications) (Hardcover)

MATLAB for Machine Learning - Second Edition - 2nd Edition by Giuseppe Ciaburro (Paperback)

Product Operations - by Melissa Perri & Denise Tilles (Paperback)

Scaling Python with Dask - by Holden Karau & Mika Kimmins (Paperback)

Apache Iceberg: The Definitive Guide - by Tomer Shiran & Jason Hughes & Alex Merced (Paperback)

Hands-On Differential Privacy - by Ethan Cowan & Michael Shoemate & Mayana Pereira (Paperback)

Grokking Bayes - by Quan Nguyen (Paperback)

Building a Salesforce-Powered Front Office - by Rashed A Chowdhury (Paperback)

Mongodb: The Definitive Guide - 3rd Edition by Shannon Bradshaw & Eoin Brazil & Kristina Chodorow (Paperback)

Learning Github Copilot - by Brent Laster (Paperback)

Control Systems Design of Bio-Robotics and Bio-Mechatronics with Advanced Applications - by Ahmad Taher Azar (Paperback)

Recommender Systems Handbook - 3rd Edition by Francesco Ricci & Lior Rokach & Bracha Shapira (Paperback)

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

Parallel Processing and Applied Mathematics - (Lecture Notes in Computer Science) (Paperback)

Low-Code AI - by Gwendolyn Stripling & Michael Abel (Paperback)

Machine Learning with Qlik Sense - by Hannu Ranta (Paperback)

Programming Pytorch for Deep Learning - by Ian Pointer (Paperback)

Polars Cookbook - by Yuki Kakegawa (Paperback)

Das Datenzentrische Unternehmen - (De Gruyter Stem) by Stefan Brock (Paperback)

Designing Large Language Model Applications - by Suhas Pai (Paperback)

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