generative ai applications

Graph Neural Networks in Action - (In Action) by Keita Broadwater & Namid Stillman (Paperback)

Taming the Machine - by Nell Watson

The Machine Learning Solutions Architect Handbook - Second Edition - by David Ping (Paperback)

Architected Intelligence - by Jacob Miller & Jeremy Mumford (Hardcover)

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

Practical Mlflow for Generative AI on Databricks - by Nuwan Ganganath & Julie Nguyen & Chang Shi Lim (Paperback)

AI in Higher Education - by Sine Zambach (Paperback)

Show Ai--Don't Tell It - by Lisa Palmer (Hardcover)

Some Future Day - by Marc Beckman (Hardcover)

Deep Learning Crash Course - (Paperback)

Build an AI Agent (from Scratch) - (From Scratch) by Jungjun Hur & Younghee Song (Paperback)

CSS3 and SVG with GPT-4 - (MLI Generative AI) by Oswald Campesato (Paperback)

Data Pipelines with Apache Airflow, Second Edition - by Julian de Ruiter & Ismael Cabral & Kris Geusebroek & Daniel Van Der Ende & Bas Harenslak

Generative AI in R - by Akansha Singh & Krishna Kant Singh (Paperback)

Agent Design Patterns - by Peter Belcak (Paperback)

Elenco: Smartivity Mulitiplication Machine STEM Kit

Next Level - by Mike Cook (Hardcover)

Machine Learning and AI with Simple Python and Matlab Scripts - (IEEE Press) by M Umit Uyar (Hardcover)

Dissect-It: Frog Lab

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

Systems Programming with Zig - by Garrison Hinson-Hasty (Paperback)

Algorithms Every Programmer Should Know - by Aniket Wattamwar (Paperback)

Generative Engine Optimization: Sichtbar in Ki-Systemen - (Essentials) by Benjamin O'Daniel & Fabian Jaeckert (Paperback)

Learning Generative AI Tools for Excel - by Angelica Lo Duca (Paperback)