Machine Learning in the Real World: How to Build and Deploy Machine Learning Models That Work

This book will teach you everything you need to know to build and deploy machine learning models in the real world. We will cover the basics of machine learning, from data preparation to model evaluation. We will also discuss the practical challenges of building and deploying machine learning models, such as data collection, feature engineering, and model selection.By the end of this book, you will be able to:Understand the basics of machine learningBuild machine learning models from scratchEvaluate the performance of your machine learning modelsDeploy your machine learning models to productionThis book is for anyone who wants to learn how to build and deploy machine learning models in the real world. Whether you are a student, a data scientist, or a business leader, this book will give you the skills you need to make machine learning work for you.Here are some of the topics that will be covered in the book:The different types of machine learning algorithmsData preparation for machine learningFeature engineering for machine learningModel selection for machine learningModel evaluation for machine learningDeploying machine learning models to productionThe book will also include case studies from real-world companies that have used machine learning to solve their business problems.If you are interested in learning more about machine learning and how to build and deploy machine learning models in the real world, then this book is for you.