Machine Learning with PySpark.
Picture Of The Book:
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| Machine Learning with PySpark. |
About The Book:
Machine Learning with PySpark shows you how to create supervised machine learning models such as linear regression, logistic regression, decision trees, and random forests. You'll also see unsupervised machine learning models such as means K and hierarchical aggregation. Much of the book focuses on engineering features to create useful features with PySpark to train machine learning models. The Natural Language Processing section covers word processing, text extraction, and integration into classification.
Information About The Book:
Title: Machine Learning with PySpark: With Natural Language Processing and Recommender Systems.
Language: English.
Size: 7.47 Mb.
Pages: 237.
Format: Pdf.
Year: 2018.
Edition: 1.
Author: Pramod Singh.
Contents Of The Book:
Chapter 1: Evolution of Data.
Chapter 2: Introduction to Machine Learning.
Chapter 3: Data Processing.
Chapter 4: Linear Regression.
Chapter 5: Logistic Regression.
Chapter 6: Random Forests.
Chapter 7: Recommender Systems.
Chapter 8: Clustering.
Chapter 9: Natural Language Processing.
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