This book is your gateway to mastering machine learning with Apache Spark 2.x. Through detailed hands-on recipes, you'll delve into building scalable ML models, optimizing big data processes, and enhancing project efficiency. Gain practical knowledge and explore real-world applications of recommendations, clustering, analytics, and more with Spark's powerful capabilities. What this Book will help me do Understand how to integrate Scala and Spark for effective machine learning development. Learn to create scalable recommendation engines using Spark. Master the development of clustering systems to organize unlabelled data at scale. Explore Spark libraries to implement efficient text analytics and search engines. Optimize large-scale data operations, tackling high-dimensional issues with Spark. Author(s) The team of authors brings expertise in machine learning, data science, and Spark technologies. Their combined industry experience and academic knowledge ensure the book is grounded in practical applications while offering theoretical insights. With clear explanations and a step-by-step approach, they aim to simplify complex concepts for developers and data scientists. Who is it for? This book is crafted for Scala developers familiar with machine learning concepts but seeking practical applications with Spark. If you have been implementing models but want to scale them and leverage Spark's robust ecosystem, this guide will serve you well. It is ideal for professionals seeking to deepen their skills in Spark and data science.