Automated Machine Learning

This book, "Automated Machine Learning", dives deep into the world of AutoML, a transformative approach to machine learning that simplifies model creation and optimization. You'll learn how to use AutoML tools and techniques across various cloud platforms like Azure, AWS, and GCP, making machine learning development faster and more accessible.

What this Book will help me do

• Understand the fundamentals of AutoML, including hyperparameter optimization and model selection.
• Gain hands-on knowledge of applying AutoML features on different cloud platforms such as Azure, AWS, and Google Cloud.
• Learn techniques for automating feature engineering to reduce repetitive tasks and improve workflow efficiency.
• Explore building and deploying robust and transparent ML pipelines easily using AutoML frameworks.
• Develop the ability to evaluate, compare, and implement various AutoML tools for diverse machine learning tasks.

Author(s)

Adnan Masood, the author of this book, is an accomplished AI and machine learning practitioner. With years of experience in the field, he has a deep understanding of integrating cutting-edge technologies into practical applications. Adnan's teaching approach combines technical insights with real-world examples, making complex concepts accessible to all.

Who is it for?

This book is ideal for machine learning practitioners, data scientists, and AI enthusiasts looking to embrace AutoML to enhance their workflows. Readers with basic understanding of machine learning principles will find this book particularly helpful. It is also suitable for individuals seeking to implement AutoML approaches using leading cloud platforms. If you are aiming to streamline model development and deployment through automation, this book is a perfect guide.