Training Data For Machine Learning
Anthony Sarkis
Learning TensorFlow.Js
Gant Laborde
PyTorch Pocket Reference
Joe Papa
Building Computer Vision Applications Using Artificial Neural Networks
Shamshad Ansari
Distributed Machine Learning With PySpark
Abdelaziz Testas
Pro Deep Learning With Tensorflow 2.0
Santanu Pattanayak
Artificial Intelligence in Medical Sciences and Psychology
Tshepo Chris Nokeri
Machine Learning For Social and Behavioral Research
Ross Jacobucci
Handbook of Natural Language Processing
Nitin Indurkhya
Machine Learning For Engineers
Osvaldo Simeone
Data Analytics Applied To the Mining Industry
Ali Soofastaei
Mathematics For Machine Learning
Marc Peter Deisenroth
AI and ML For Coders in PyTorch
Laurence Moroney
Reinforcement Learning For Finance
Yves J. Hilpisch
Developing Apps With GPT-4 and ChatGPT
Olivier Caelen
Deep Learning For Biology
Charles Ravarani
Learning LangChain
Mayo Oshin
Learning Github Copilot
Brent Laster
Hands-On APIs For AI and Data Science
Ryan Day
LangChain For Life Sciences and Healthcare
Ivan Reznikov
