Deep Learning Patterns and Practices
Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production.
Monthly Archives: September 2021
Five Lines of Code: How and when to refactor
Five Lines of Code teaches refactoring that’s focused on concrete rules and getting any method down to five lines or less! There’s no jargon or tricky automated-testing skills required, just easy guidelines and patterns illustrated by detailed code samples.
Building Data Science Applications with FastAPI (1st Edition)
Cover the concepts of the FastAPI framework, including aspects relating to asynchronous programming, type hinting, and dependency injection; Develop efficient RESTful APIs for data science with modern Python
; Build, test, and deploy high performing data science and machine learning systems with FastAPI.
Practical Cloud-Native Java Development with MicroProfile
Written by leading MicroProfile experts, this book provides you with best practices for building enterprise-grade cloud-native applications using MicroProfile 4.1 and running them on Open Liberty with Docker, Kubernetes, and Istio.
Amazon SageMaker Best Practices: Proven tips and tricks to build successful machine learning solutions on Amazon SageMaker (1st Edition)
Overcome advanced challenges in building end-to-end ML solutions by leveraging the capabilities of Amazon SageMaker for developing and integrating ML models into production Key Features Learn best practices […]