Distributed Machine Learning Patterns
Yuan Tang
Good Code, Bad Code
Tom Long
Data Without Labels
Vaibhav Verdhan
Inside Deep Learning
Edward Raff
Infrastructure As Code, Patterns and Practices
Rosemary Wang
Grokking Continuous Delivery
Christie Wilson
Software Telemetry
Jamie Riedesel
Interperetable AI
Ajay Thampi
BDD in Action
John Ferguson Smart
The Art of Unit Testing
Roy Osherove
Data Analysis With Python and Pyspark
Jonathan Rioux
AI-Powered Search
Trey Grainger
Math and Architectures of Deep Learning
Krishnendu Chaudhury
Graph Databases in Action
Dave Bechberger
Deep Learning For Vision Systems
Mohamed Elgendy
R in Action
Robert Kabacoff
Grokking Deep Reinforcement Learning
Miguel Morales
Microservices Patterns
Chris Richardson
Machine Learning With TensorFlow
Nishant Shukla
Teaching and Learning in STEM With Computation, Modeling, and Simulation Practices
Alejandra J. Magana
