Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions

Automated Machine Learning is a process that uses machine learning to help people build machine learning models, and this book provides a mix of technical depth, hands-on examples, and case studies to show how customers are solving real-world problems with this technology.

Format: Paperback / softback
Length: 225 pages
Publication date: 08 October 2019
Publisher: O'Reilly Media, Inc, USA

Automated Machine Learning (AML) is a revolutionary approach to building machine learning models that leverages the power of machine learning to help individuals and organizations build these models quickly and efficiently. In this practical book, Deepak Mukunthu, Parashar Shah, and Wee Hyong Tok, three experts in the field, provide a comprehensive guide to AML.

The book begins by introducing the concept of AML and its benefits. It explains how AML uses machine learning algorithms to automate the process of building models, reducing the time and effort required to develop these models. The authors then delve into the technical aspects of AML, covering topics such as algorithm selection, auto featurization, and hyperparameter tuning.

Throughout the book, the authors use real-world examples and case studies to demonstrate how companies in different industries are leveraging AML to solve their real-world problems. These examples showcase the practical applications of AML and its ability to deliver significant results in a short amount of time.

The book is designed for data analysts, BI professionals, and developers who want to learn how to use AML in their familiar tools and experiences. The authors provide step-by-step instructions on how to get started with AML, including how to set up Azure, select the appropriate algorithm, and tune hyperparameters. They also address the challenges that may arise during the implementation of AML and offer solutions to overcome them.

In conclusion, Automated Machine Learning is a game-changer in the field of machine learning. This practical book provides a comprehensive guide to AML, covering the technical aspects, real-world examples, and practical applications. Whether you are a data analyst, BI professional, or developer, this book will help you leverage AML to build powerful machine learning models quickly and efficiently.

Weight: 368g
Dimension: 230 x 173 x 11 (mm)
ISBN-13: 9781492055594