Automated Machine Learning in Action - Song, Qingquan; Jin, Haifeng; Hu, Xia
53,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 2-4 Wochen
payback
27 °P sammeln
  • Broschiertes Buch

Automated Machine Learning in Action teaches you to automate your machine learning pipelines with AutoKeras and Keras Tuner.Written by the creators of the AutoKeras system, it's full of AutoML techniques and advanced toolkits for optimizing how your machine learning models function. AutoML concepts and techniques are introduced through real-world examples and practical code snippets--no complex math or formulas. You'll quickly run through machine learning basics that open upon AutoML to non-data scientists, before putting AutoML into practice for image classification, supervised learning, and…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
Automated Machine Learning in Action teaches you to automate your machine learning pipelines with AutoKeras and Keras Tuner.Written by the creators of the AutoKeras system, it's full of AutoML techniques and advanced toolkits for optimizing how your machine learning models function. AutoML concepts and techniques are introduced through real-world examples and practical code snippets--no complex math or formulas. You'll quickly run through machine learning basics that open upon AutoML to non-data scientists, before putting AutoML into practice for image classification, supervised learning, and more. You'll learn to automate selecting the best machine learning models or data preparation methods for your own machine learning tasks, so your pipelines tune themselves without needing constant input.
Autorenporträt
Qingquan Song, Haifeng Jin, and Dr. Xia Ben Hu are the creators of the AutoKeras automated deep learning library. Qingquan and Haifeng are PhD students at Texas A&M University, and have both published papers at major data mining conferences and journals. Dr. Hu is an associate professor at Texas A&M University in the Department of Computer Science and Engineering, whose work has been utilized by TensorFlow, Apple, and Bing.