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Feature Selection for Knowledge Discovery and Data Mining - (The Springer International Engineering and Computer Science) (Hardcover)

AI Empowered - by Babu George & Ontario S Wooden (Hardcover)

Digital Twin Development and Deployment on the Cloud - by Nassim Khaled & Bibin Pattel & Affan Siddiqui (Paperback)

Pro Deep Learning with Tensorflow 2.0 - 2nd Edition by Santanu Pattanayak (Paperback)

An Introduction to MultiAgent Systems - 2nd Edition by Michael Wooldridge (Paperback)

Introduction to Python and Large Language Models - by Dilyan Grigorov (Paperback)

Waiting for Robots - by Antonio A Casilli

Empowering the Public Sector with Generative AI - by Sanjeev Pulapaka & Srinath Godavarthi & Sherry Ding (Paperback)

Machine Learning for Imbalanced Data - by Kumar Abhishek & Mounir Abdelaziz (Paperback)

Machine Learning Concepts with Python and the Jupyter Notebook Environment - by Nikita Silaparasetty (Paperback)

Generative Ai: The Insights You Need from Harvard Business Review - (HBR Insights) (Paperback)

Meta-Analytics - by Steven Simske (Paperback)

AI for Utilities - by Debashish Roy (Paperback)

Conceptual Variable Design for Scorecards - by Saul Rodrigo Alvarez Zapiain (Paperback)

Generative AI in Banking Financial Services and Insurance - by Anshul Saxena & Shalaka Verma & Jayant Mahajan (Paperback)

ChatGPT - by Ge Cheng (Paperback)

The Thinking as Computation - by Hector J Levesque (Paperback)

Probability and Statistics for Machine Learning - by Charu C Aggarwal (Hardcover)

Inteligência Artificial - by John K Burchfield (Paperback)

Soft Numerical Computing in Uncertain Dynamic Systems - by Tofigh Allahviranloo & Witold Pedrycz (Paperback)

Genius Makers - by Cade Metz (Paperback)

If Anyone Builds It, Everyone Dies - by Eliezer Yudkowsky & Nate Soares (Hardcover)

Mastering Text Analytics - by Shailendra Kadre & Shailesh Kadre & Subhendu Dey (Paperback)

Introduction to Foundation Models - by Pin-Yu Chen & Sijia Liu (Hardcover)