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Machine Learning with PySpark Download pdf

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Machine Learning with PySpark
Picture Of The Book:
Machine Learning with PySpark
Machine Learning with PySpark
About The Book:

AI with PySpark tells you the best way to make regulated AI models, for example, straight relapse, calculated relapse, choice trees, and arbitrary woodlands. You'll additionally observe unaided AI models, for example, implies K and various leveled conglomeration. A significant part of the book centers around building highlights to make valuable highlights with PySpark to prepare AI models. The Natural Language Processing segment covers word preparing, content extraction, and mix into grouping.

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.

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.