Apache Spark for Machine Learning : Build and Deploy High-Performance Big Data AI Solutions for Large-scale Clusters / Deepak Gowda.

Format:

Book

Author/Creator:

Gowda, Deepak, author.

Language:

English

Subjects (All):

Spark (Electronic resource : Apache Software Foundation).

Machine learning.

Big data.

Information retrieval.

Physical Description:

1 online resource (306 pages)

Edition:

First edition.

Place of Publication:

Birmingham, England : Packt Publishing, [2024]

Biography/History:

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.

Summary:

Develop your data science skills with Apache Spark to solve real-world problems for Fortune 500 companies using scalable algorithms on large cloud computing clusters Key Features Apply techniques to analyze big data and uncover valuable insights for machine learning Learn to use cloud computing clusters for training machine learning models on large datasets Discover practical strategies to overcome challenges in model training, deployment, and optimization Purchase of the print or Kindle book includes a free PDF eBook Book Description 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. What you will learn Master Apache Spark for efficient, large-scale data processing and analysis Understand core machine learning concepts and their applications with Spark Implement data preprocessing techniques for feature extraction and transformation Explore supervised learning methods - regression and classification algorithms Apply unsupervised learning for clustering tasks and recommendation systems Discover frequent pattern mining techniques to uncover data trends Who this book is for This book is ideal for data scientists, ML engineers, data engineers, students, and researchers who want to deepen their knowledge of Apache Spark's tools and algorithms. It's a must-have for those struggling to scale models for real-world problems and a valuable resource for preparing for interviews at Fortune 500 companies, focusing on large dataset analysis, model training, and deployment.

Contents:

Apache Spark for Machine Learning: Build and deploy high-performance big data AI solutions for large-scale clusters

Notes:

Description based on publisher supplied metadata and other sources.

Description based on print version record.

ISBN:

9781835460016

1835460011

OCLC:

1458612836