artificial intelligence modern approach

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

Case-Based Reasoning - by Michael M Richter & Rosina O Weber (Paperback)

Langchain for Life Sciences and Healthcare - by Ivan Reznikov (Paperback)

Industrial Agents - by Paulo Leitão & Stamatis Karnouskos (Paperback)

Exploring Infant Cry - by Carlos Alberto Reyes Garcia & Mario Mandujano-Valdez & Maria Antonia Ruiz Diaz & Sergio Daniel Cano Ortiz (Paperback)

Data Science First - by John Hawkins (Paperback)

MLOps with Databricks - by Maria Vechtomova (Paperback)

Genius Makers - by Cade Metz (Paperback)

Machine Learning and Deep Learning With Python - by James Chen (Paperback)

Causal AI - by Robert Osazuwa Ness (Paperback)

Generative AI on Microsoft Azure - by Adrián González Sánchez & Jaime de Mora & Jorge García Ximénez (Paperback)

Meta-Analytics - by Steven Simske (Paperback)

Agentic Graphrag - by Anthony Alcaraz & Sam Julien (Paperback)

A.I. Survival Guide - by Cara Cusack & Martin Cusack (Paperback)

Hbr's 10 Must Reads on AI (with Bonus Article How to Win with Machine Learning by Ajay Agrawal, Joshua Gans, and AVI Goldfarb) - (Paperback)

Mastering Langchain - by Sanath Raj B Narayan & Nitin Agarwal (Paperback)

Riemannian Geometric Statistics in Medical Image Analysis - by Xavier Pennec & Stefan Sommer & Tom Fletcher (Paperback)

Raising AI - by De Kai

Applied Machine Learning Explainability Techniques - by Aditya Bhattacharya (Paperback)

LLM Design Patterns - by Ken Huang (Paperback)

From AI Users to Solution Builders - by Wei Manfredi

The Borrowed Mind - by John Nosta

Applied Reinforcement Learning with Python - by Taweh Beysolow II (Paperback)

The Ai-Ready CFO - by Glenn Hopper (Hardcover)