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      Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

      3 in stock

      Firm sale: non returnable item
      SKU 9781491953242 Categories ,
      Select Guide Rating
      Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machi...

      £52.99

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      Description

      Product ID:9781491953242
      Product Form:Paperback / softback
      Country of Manufacture:US
      Title:Feature Engineering for Machine Learning
      Subtitle:Principles and Techniques for Data Scientists
      Authors:Author: Alice Zheng
      Page Count:630
      Subjects:Databases, Databases
      Description:Select Guide Rating
      Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models.
      Imprint Name:O'Reilly Media
      Publisher Name:O'Reilly Media
      Country of Publication:GB
      Publishing Date:2018-04-10

      Additional information

      Weight404 g
      Dimensions232 × 178 × 12 mm