Applied Machine Learning and AI For Engineers
Jeff Prosise
Building Recommendation Systems in Python and JAX
Bryan Bischof
Hands-on Differential Privacy
Ethan Cowan
Building Evolutionary Architectures
Neal Ford
Training Data For Machine Learning
Anthony Sarkis
Learning TensorFlow.Js
Gant Laborde
PyTorch Pocket Reference
Joe Papa
Machine Learning Pocket Reference
Matt Harrison
Artificially Intelligent
David Eliot
Building Computer Vision Applications Using Artificial Neural Networks
Shamshad Ansari
A Power BI Compendium
Alison Box
Distributed Machine Learning With PySpark
Abdelaziz Testas
The Quiet Crypto Revolution
Klaas Jung
Modern C++ For Absolute Beginners
Slobodan DmitroviGc
Employee-Centric IT
Mark Ghibril
Pro Deep Learning With Tensorflow 2.0
Santanu Pattanayak
Finding Ghosts in Your Data
Kevin Feasel
Beginning Spring Data
Andres Sacco
Modern C Up and Running
Martin Kalin
Spring 6 Recipes
Marten Deinum
