Paperback Books

Azure AI Fundamentals (Ai-900) Study Guide - by Tom Taulli (Paperback)

Modern Graph Theory Algorithms with Python - by Colleen M Farrelly & Franck Kalala Mutombo (Paperback)

Power Skills: El Secreto Para Construir Tu Carrera En La Era de la Inteligencia Artificial - by Borja Castelar (Paperback)

Advanced Research in Applied Artificial Intelligence - by He Jiang & Wei Ding & Moonis Ali & Xindong Wu (Paperback)

Robots Plan My Vacations - by Angelina Allsop (Paperback)

Iot Security - (Hybrid Computational Intelligence for Pattern Analysis and Understanding) (Paperback)

Machine Learning for Decision Makers - 2nd Edition by Patanjali Kashyap (Paperback)

Advanced Machine Learning for Cyber-Attack Detection in Iot Networks - by Dinh Thai Hoang & Nguyen Quang Hieu & Diep N Nguyen & Ekram Hossain

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

Bio-Inspired Models of Network, Information, and Computing Systems - (Lecture Notes of the Institute for Computer Sciences, Social) (Paperback)

The AI Leadership Edge via ChatGPT, Copilot & Gemini with 111 Prompts to Outperform - by Mauricio Vasquez & Mindscape Artwork Publishing (Paperback)

Mathematics of Deep Learning - (De Gruyter Textbook) by Leonid Berlyand & Pierre-Emmanuel Jabin (Paperback)

Practical Generative Ai: From Concept to Deployment - by Pramod Singh & James McKeone (Paperback)

AI Needs You - by Verity Harding

Deep Reinforcement Learning with Python - 2nd Edition by Nimish Sanghi (Paperback)

God-like - by Kester Brewin (Paperback)

Enhancement of Software Processes for Legacy Systems - by C J Satish (Paperback)

Advances in Knowledge Discovery and Data Mining - by Pang-Ning Tan & Sanjay Chawla & Chin Kuan Ho & James Bailey (Paperback)

Enter Prompt - by Sidharth Sreekumar & Barsali Bhattacharyya (Paperback)

Associative Engines - by Andy Clark (Paperback)

Brain Rush - by Peter Cohan (Paperback)

Machine Learning in the Oil and Gas Industry - (Paperback)

Productionizing AI - by Barry Walsh (Paperback)

Conformal Prediction for Reliable Machine Learning - by Vineeth Balasubramanian & Shen-Shyang Ho & Vladimir Vovk (Paperback)