"Machine Learning with Apache Spark Quick Start Guide" introduces you to the fundamental concepts and tools needed to harness the power of Apache Spark for data processing and machine learning. This book combines practical examples and real-world scenarios to show you how to manage big data efficiently while uncovering actionable insights through advanced analytics. What this Book will help me do Understand the role of Apache Spark in the big data ecosystem. Set up and configure an Apache Spark development environment. Learn and implement supervised and unsupervised learning models using Spark MLlib. Apply advanced analytical algorithms to real-world big data problems. Develop and deploy real-time machine learning pipelines with Apache Spark. Author(s) None Quddus is an experienced practitioner in the fields of big data, distributed technologies, and machine learning. With a career dedicated to using advanced analytics to solve real-world problems, Quddus brings practical expertise to each topic addressed. Their approachable writing style ensures readers can apply concepts effectively, even in complex scenarios. Who is it for? This book is ideal for business analysts, data analysts, and data scientists who are eager to gain hands-on experience with big data technologies. Whether you are new to Apache Spark or looking to expand your knowledge of its machine learning capabilities, this guide provides the tools and insights necessary to achieve those goals. Technical professionals wanting to develop their skills in processing and analyzing big data will find this resource invaluable.