Covers Spark machine learning for processing large datasets efficiently
Focuses on linear and ensemble methods for effective predictive modeling
Includes code examples for real-world use cases such as ad placement and fraud detection
Simplifies complex ML concepts with clear explanations and step-by-step guidance
Written by Michael Bowles, an expert in machine learning and data science
Summarized by Shop
Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by focusing on two key algorithms. This new second edition improves with the addition of Spark-a ML framework from the Apache foundation. By implementing Spark, machine learning students can easily process