[IMG] The Business Case for AI (Kavita Ganesan) 321 pages
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[IMG] The AI Marketing Canvas A FiveStage Road Map to Implementing Artificial Intelligence in Marketing (Raj Venkatesan, Jim Lecinski) 269 pages
[IMG] RobotProof Higher Education in the Age of Artificial Intelligence (Joseph E. Aoun) 210 pages
[IMG] Probabilistic Machine Learning for Finance and Investing A Primer to Generative AI with Python (Fifth Early Release) (Deepak Kanungo) 351...
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[IMG] Playing Smart On Games, Intelligence, and Artificial Intelligence (Julian Togelius) 188 pages
[IMG] Machine Learning for HighRisk Applications (Patrick Hall, Rumman Chowdhury) 112 pages
[IMG] Essential Math for AI NextLevel Mathematics for Developing Efficient and Successful AI Systems (Hala Nelson) 603 pages
[IMG] Data Quality Empowering Businesses with Analytics and AI (Prashanth Southekal) 302 pages
[IMG] Artificial Intelligence for Business What You Need to Know about Machine Learning and Neural Networks (Doug Rose) 207 pages
[IMG] Applied Machine Learning and AI for Engineers (Jeff Prosise) 428 pages
[IMG] Applied Artificial Intelligence (Mariya Yao, Marlene Jia, Adelyn Zhou) 184 pages
[IMG] Analyzing Health Data in R for SAS Users (Monika Maya Wahi, Peter Seebach) 319 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 Finance (Edward P. K. Tsang) 126 p
[IMG] Artificial Intelligence An Illustrated History From Medieval Robots to Neural Networks Sterling 2019 (Clifford A Pickover) 391 pages
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