Bøger af Qingquan Song

Optimize every stage of your machine learning pipelines with powerful automation components and cutting-edge tools like AutoKeras and KerasTuner.In Automated Machine Learning in Action you will learn how to:Improve a machine learning model by automatically tuning its hyperparametersPick the optimal components for creating and improving your pipelinesUse AutoML toolkits such as AutoKeras and Keras TunerDesign and implement search algorithms to find the best component for your ML taskAccelerate the AutoML process with data-parallel, model pre-training, and other techniquesAutomated Machine Learning in Action reveals how premade machine learning components can automate time-consuming ML tasks.Its written in a math-lite and accessible style, and filled with hands-on examples for applying AutoML techniques to every stage of a pipeline. Youll use tools like AutoKeras to create pipelines that automatically select the best approach for your task, remove the burden of manual tuning, and can even be implemented by machine learning novices!