Book Name: Machine Learning with PySpark
Author: Pramod Singh
File size: 7.1 MB
File format: PDF
Machine Learning with PySpark Pdf Book Description:
Construct machine learning models, natural language processing software, and recommender systems with PySpark to fix different business challenges. This book begins with the essentials of Spark and its own development and then covers the whole spectrum of conventional machine learning algorithms together with natural language processing and recommender systems utilizing PySpark.
Machine Learning with PySpark teaches you how you can construct supervised machine learning models like linear regression, logistic regression, decision trees, and random woods. You will also see unsupervised machine learning models like K-means and hierarchical clustering. A significant part of the publication focuses on attribute engineering to make useful attributes with PySpark to educate the machine learning models.
After studying this book, you will know how to utilize PySpark’s machine learning library to construct and train different machine learning models. Additionally you will become familiar with related PySpark elements, like data consumption, information processing, and information evaluation, which you may utilize to come up with data-driven smart software.
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