{"product_id":"9781617298059","title":"Automated Machine Learning in Action","description":"\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eAuthor\/Contributor(s):\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eSong, Qingquan; Jin, Haifeng; Hu, Xia\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003ePublisher:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eManning\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eDate:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6\/7\/2022\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eBinding:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003ePaperback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eNEW\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cb\u003eOptimize every stage of your machine learning pipelines with powerful automation components and cutting-edge tools like AutoKeras and KerasTuner.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eIn \u003ci\u003eAutomated Machine Learning in Action\u003c\/i\u003e you will learn how to:\u003cbr\u003e\u003cbr\u003eImprove a machine learning model by automatically tuning its hyperparameters\u003cbr\u003ePick the optimal components for creating and improving your pipelines\u003cbr\u003eUse AutoML toolkits such as AutoKeras and KerasTuner\u003cbr\u003eDesign and implement search algorithms to find the best component for your ML task\u003cbr\u003eAccelerate the AutoML process with data-parallel, model pretraining, and other techniques\u003cbr\u003e\u003cbr\u003e\u003ci\u003eAutomated Machine Learning in Action\u003c\/i\u003e reveals how you can automate the burdensome elements of designing and tuning your machine learning systems. It’s written in a math-lite and accessible style, and filled with hands-on examples for applying AutoML techniques to every stage of a pipeline. AutoML can even be implemented by machine learning novices! If you’re new to ML, you’ll appreciate how the book primes you on machine learning basics. Experienced practitioners will love learning how automated tools like AutoKeras and KerasTuner can create pipelines that automatically select the best approach for your task, or tune any customized search space with user-defined hyperparameters, which removes the burden of manual tuning.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the technology\u003c\/b\u003e\u003cbr\u003eMachine learning tasks like data pre-processing, feature selection, and model optimization can be time-consuming and highly technical. Automated machine learning, or AutoML, applies pre-built solutions to these chores, eliminating errors caused by manual processing. By accelerating and standardizing work throughout the ML pipeline, AutoML frees up valuable data scientist time and enables less experienced users to apply machine learning effectively.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the book\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAutomated Machine Learning in Action\u003c\/i\u003e shows you how to save time and get better results using AutoML. As you go, you’ll learn how each component of an ML pipeline can be automated with AutoKeras and KerasTuner. The book is packed with techniques for automating classification, regression, data augmentation, and more. The payoff: Your ML systems will be able to tune themselves with little manual work.\u003cbr\u003e\u003cbr\u003eWhat's inside\u003cbr\u003e\u003cbr\u003eAutomatically tune model hyperparameters\u003cbr\u003ePick the optimal pipeline components\u003cbr\u003eSelect appropriate models and features\u003cbr\u003eLearn different search algorithms and acceleration strategies\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e\u003cbr\u003eFor ML novices building their first pipelines and experienced ML engineers looking to automate tasks.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eDrs. Qingquan Song, Haifeng Jin, and Xia “Ben” Hu\u003c\/b\u003e are the creators of the AutoKeras automated deep learning library.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePART 1 FUNDAMENTALS OF AUTOML\u003cbr\u003e1 From machine learning to automated machine learning\u003cbr\u003e2 The end-to-end pipeline of an ML project\u003cbr\u003e3 Deep learning in a nutshell\u003cbr\u003ePART 2 AUTOML IN PRACTICE\u003cbr\u003e4 Automated generation of end-to-end ML solutions\u003cbr\u003e5 Customizing the search space by creating AutoML pipelines\u003cbr\u003e6 AutoML with a fully customized search space\u003cbr\u003ePART 3 ADVANCED TOPICS IN AUTOML\u003cbr\u003e7 Customizing the search method of AutoML\u003cbr\u003e8 Scaling up AutoML\u003cbr\u003e9 Wrapping up","brand":"Manning","offers":[{"title":"Default Title","offer_id":48176692592895,"sku":"9781617298059","price":59.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0452\/0886\/2873\/files\/Jacket_125da45a-107e-4a8d-975a-ab4182754356.jpg?v=1771351512","url":"https:\/\/massivebookshop.com\/de\/products\/9781617298059","provider":"MASSIVE BOOKSHOP","version":"1.0","type":"link"}