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Written for developers with some understanding of deep learning algorithms. Experience with reinforcement learning is not required. Grokking Deep Reinforcement Learning …
If you think “Modern” and “C” don’t belong in the same sentence, think again. The C standards committee actively reviews and extends the language, with updated published C …
By adopting the micro frontends approach and designing your web apps as systems of features, you can deliver faster feature development, easier upgrades, and pick and choose the …
Machine Learning with R, tidyverse, and mlr teaches readers how to gain valuable insights from their data using the powerful R programming language. In his engaging and informal …
Apply advanced techniques for optimising machine learning processes For machine learning practitioners confident in maths and statistics. Bayesian Optimization in Action shows you …
Learn more about stories, examples, and ground-breaking research in this book to help you unleash your creative potential as aprogrammer! For programmers of all experience and …
Privacy-Preserving Machine Learning is a practical guide to keeping ML data anonymous and secure. You'll learn the core principles behind different privacy preservation …
Optimize every stage of your machine learning pipelines with powerful automation components and cutting-edge tools like AutoKeras and KerasTuner. Automated Machine Learning in …
Kubernetes is an essential tool for anyone deploying and managing cloud-native applications. It lays out a complete introduction to container technologies and containerized …
The mathematical paradigms that underlie deep learning typically start out as hard-to-read academic papers, often leaving engineers in the dark about how their models actually …