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Unsupervised Learning and Recommendation Algorithms

  • Ramcharan Kakarla,
  • Sundar Krishnan,
  • Balaji Dhamodharan,
  • Venkata Gunnu

摘要

This chapter explores popular techniques used in the industry to handle unlabeled data. You will discover how to implement them using PySpark. You will also be introduced to the basics of segmentation and recommendation algorithms and the data preparation involved. By the end of this chapter, you will have an appreciation for unsupervised techniques and their use in day-to-day data science activities.