[IMG] Applied Predictive Modeling (Max Kuhn, Kjell Johnson) 892 pages
[IMG] Applied Predictive Analytics (Dean Abbott) 375 pages
[IMG] Applied Machine Learning and AI for Engineers (Jeff Prosise) 428 pages
[IMG] Applied Data Mining for Business and Industry (Paolo Giudici, Silvia Figini) 252 pages
[IMG] Applied Artificial Intelligence (Mariya Yao, Marlene Jia, Adelyn Zhou) 184 pages
[IMG] Annotated Turing (Charles Petzold) 385 pages
[IMG] Analyzing Health Data in R for SAS Users (Monika Maya Wahi, Peter Seebach) 319 pages
[IMG] ANALYTICS IN A BIG DATA WORLD THE ESSENTIAL GUIDE TO DATA SCIENCE AND ITS APPLICATIONS (BART BAESENS) 248 pages
[IMG] AI in Health A Leader’s Guide to Winning in the New Age of Intelligent Health Systems (HIMSS Book Series) (Tom Lawry) 223 pages
[IMG] AI for the Sustainable Development Goals (AI for Everything) (Henrik Skaug Sætra) 121 pages
[IMG] AI for Retail A Practical Guide to Modernize Your Retail Business with AI and Automation (Francois Chaubard) 384 pages
[IMG] AI for Physics (Volker Knecht) 244 pages
[IMG] AI for Finance (Edward P. K. Tsang) 126 p
[IMG] Data Mining for the Social Sciences An Introduction (Paul Attewell, David Monaghan) 265 pages
[IMG] Data Mining for Business Analytics Concepts, Techniques and Applications in Python (Galit Shmueli, Peter C. Bruce, Peter Gedeck etc.) 607 pages
[IMG] Data Mining Cookbook Modeling Data for Marketing, Risk and Customer Relationship Management (Olivia Parr Rud) 429 pages
[IMG] Data Mining Concepts and Techniques (Jiawei Han, Micheline Kamber) 312 pages
[IMG] Data Management at Scale, Second Edition (Piethein Strengholt) 587 pages
[IMG] Data Clustering Algorithms and Applications (Charu C. Aggarwal, Chandan K. Reddy) 648 pages
[IMG] Data Architecture From Zen to Reality (Charles Tupper) 442 pages
Separate names with a comma.
