Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and Mlops

 Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps is a comprehensive guide for data scientists and  machine learning engineers. This book offers practical solutions to common challenges faced in the machine learning process, including data preparation, model building, and MLOps. With a focus on design patterns, readers will learn how to effectively address issues such as data quality, feature engineering, model evaluation, and deployment. Whether you are new to machine learning or looking to enhance your skills, this book provides valuable insights and techniques to improve your machine learning projects.