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Machine Learning with PySpark

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Machine Learning with PySpark

With Natural Language Processing and Recommender Systems

Pramod Singh

Apress
Publication date : 2018-12-14

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Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business challenges. This book starts with the fundamentals of Spark and its evolution and then covers the entire spectrum of traditional machine learning algorithms along with natural language processing and recommender systems using PySpark.

Machine Learning with PySpark shows you how to build supervised machine learning models such as linear regression, logistic regression, decision trees, and random forest. You’ll also see unsupervised machine learning models such as K-means and hierarchical clustering. A major portion of the book focuses on feature engineering to create useful features with PySpark to train the machine learning models. The natural language processing section covers text processing, text mining, and embedding for classification.

After reading thisbook, you will understand how to use PySpark’s machine learning library to build and train various machine learning models. Additionally you’ll become comfortable with related PySpark components, such as data ingestion, data processing, and data analysis, that you can use to develop data-driven intelligent applications.

What You Will Learn

Build a spectrum of supervised and unsupervised machine learning algorithms
Implement machine learning algorithms with Spark MLlib libraries
Develop a recommender system with Spark MLlib libraries
Handle issues related to feature engineering, class balance, bias and variance, and cross validation for building an optimal fit model

Who This Book Is For

Data science and machine learning professionals.

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About the book

Author

Pramod Singh

Imprint

Apress

Collection

n.c

Publication date

2018-12-14

Pages

223 pages

Print ISBN

9781484241301

Language

English

Ebook informations

EAN PDF

9781484241318

Price

£27.99

Copy count 2

Print count 22

File size 7270 Ko

Informations accessibility

EAN EPUB

9781484241318

Price

£27.99

Copy count 2

Print count 22

File size 8571 Ko

Informations accessibility

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About author(s)

Pramod Singh

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