Gowda Apache Spark for Machine Learning

Build and deploy high-performance big data AI solutions for large-scale clusters
1. Auflage 2025
ISBN: 978-1-83546-001-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 306 Seiten

In the world of big data, efficiently processing and analyzing massive datasets for machine learning can be a daunting task. Written by Deepak Gowda, a data scientist with over a decade of experience and 30+ patents, this book provides a hands-on guide to mastering Spark's capabilities for efficient data processing, model building, and optimization. With Deepak's expertise across industries such as supply chain, cybersecurity, and data center infrastructure, he makes complex concepts easy to follow through detailed recipes.
This book takes you through core machine learning concepts, highlighting the advantages of Spark for big data analytics. It covers practical data preprocessing techniques, including feature extraction and transformation, supervised learning methods with detailed chapters on regression and classification, and unsupervised learning through clustering and recommendation systems. You'll also learn to identify frequent patterns in data and discover effective strategies to deploy and optimize your machine learning models. Each chapter features practical coding examples and real-world applications to equip you with the knowledge and skills needed to tackle complex machine learning tasks.
By the end of this book, you'll be ready to handle big data and create advanced machine learning models with Apache Spark.

Autoren/Hrsg.

Gowda, Deepak

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Über Autor(innen)

Gowda Deepak :

Deepak Gowda is a data scientist and AI/ML expert with over a decade of experience in leading innovative solutions across various industries, including supply chain, cybersecurity, and data center infrastructure. He holds over 30 granted patents, contributing to advancements in automation, predictive analytics, and AI-driven optimization. His work spans data engineering, machine learning, and distributed systems, focusing on building scalable and impactful products. A passionate inventor, mentor, author, and FAA-certified pilot, Deepak is also dedicated to content creation, sharing his expertise through writing, speaking, and mentoring. He continues to push the boundaries of technology, driving innovation across sectors.