Szczegóły ebooka

Automated Machine Learning. Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms

Automated Machine Learning. Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms

Adnan Masood, Ahmed Sherif

Ebook
Every machine learning engineer deals with systems that have hyperparameters, and the most basic task in automated machine learning (AutoML) is to automatically set these hyperparameters to optimize performance. The latest deep neural networks have a wide range of hyperparameters for their architecture, regularization, and optimization, which can be customized effectively to save time and effort.
This book reviews the underlying techniques of automated feature engineering, model and hyperparameter tuning, gradient-based approaches, and much more. You'll discover different ways of implementing these techniques in open source tools and then learn to use enterprise tools for implementing AutoML in three major cloud service providers: Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform. As you progress, you’ll explore the features of cloud AutoML platforms by building machine learning models using AutoML. The book will also show you how to develop accurate models by automating time-consuming and repetitive tasks in the machine learning development lifecycle.
By the end of this machine learning book, you’ll be able to build and deploy AutoML models that are not only accurate, but also increase productivity, allow interoperability, and minimize feature engineering tasks.
  • 1. A Lap around Automated Machine Learning
  • 2. Automated Machine Learning, Algorithms, and Techniques
  • 3. Automated Machine Learning with Open Source Tools and Libraries
  • 4. Getting Started with Azure Machine Learning
  • 5. Automated Machine Learning with Microsoft Azure
  • 6. Machine Learning with Amazon Web Services
  • 7. Doing Automated Machine Learning with Amazon SageMaker Autopilot
  • 8. Machine Learning with Google Cloud Platform
  • 9. Automated Machine Learning with GCP Cloud AutoML
  • 10. AutoML in the Enterprise
  • Tytuł: Automated Machine Learning. Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
  • Autor: Adnan Masood, Ahmed Sherif
  • Tytuł oryginału: Automated Machine Learning. Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
  • ISBN: 9781800565524, 9781800565524
  • Data wydania: 2021-02-18
  • Format: Ebook
  • Identyfikator pozycji: e_2a2y
  • Wydawca: Packt Publishing