Book description
- 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
Product information
- Title: Machine Learning with PySpark: With Natural Language Processing and Recommender Systems
- Author(s):
- Release date: December 2018
- Publisher(s): Apress
- ISBN: 9781484241318
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