blogs on machine learning

Practical MLOps - by Noah Gift & Alfredo Deza (Paperback)

3D Data Science with Python - by Florent Poux (Paperback)

Math and Architectures of Deep Learning - by Krishnendu Chaudhury (Paperback)

Deep Learning for Finance - by Sofien Kaabar (Paperback)

Low-Code AI - by Gwendolyn Stripling & Michael Abel (Paperback)

AI at the Edge - by Daniel Situnayake & Jenny Plunkett (Paperback)

Implementing MLOps in the Enterprise - by Yaron Haviv & Noah Gift (Paperback)

Explainable AI for Practitioners - by Michael Munn & David Pitman (Paperback)

Causal Inference in Python - by Matheus Facure (Paperback)

Developing Apps with GPT-4 and ChatGPT - 2nd Edition by Olivier Caelen & Marie-Alice Blete (Paperback)

Llms and Generative AI for Healthcare - by Kerrie Holley & Manish Mathur (Paperback)

The Developer's Playbook for Large Language Model Security - by Steve Wilson (Paperback)

Prompt Engineering for Llms - by John Berryman & Albert Ziegler (Paperback)

Designing Large Language Model Applications - by Suhas Pai (Paperback)

Essential Math for Data Science - by Thomas Nield (Paperback)

Deep Learning with Python, Third Edition - by Francois Chollet & Matthew Watson (Paperback)

Learning Automl - by Kerem Tomak (Paperback)

Building Knowledge Graphs - by Jesús Barrasa & Jim Webber (Paperback)

Boys' Dora The Explorer Live Learn Explore T Shirt White

Practical Linear Algebra for Data Science - by Mike X Cohen (Paperback)

Essential Math for AI - by Hala Nelson (Paperback)

Generative AI on AWS - by Chris Fregly & Antje Barth & Shelbee Eigenbrode (Paperback)

Hands-On Generative AI with Transformers and Diffusion Models - by Omar Sanseviero & Pedro Cuenca & Apolinário Passos & Jonathan Whitaker

Natural Language Processing with Transformers, Revised Edition - by Lewis Tunstall & Leandro Von Werra & Thomas Wolf (Paperback)