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The hundred-page machine learning book / Andriy Burkov.

By: Material type: TextTextPublisher: [Quebec City, Canada] : Andriy Burkov, [2019]Copyright date: c2019Description: xviii, 141 pages : illustrations color ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781999579500
  • 199957950X
Subject(s): Genre/Form: DDC classification:
  • 006.31 BUR 22
Contents:
Notation and definitions -- Fundamental algorithms -- Anatomy of a learning algorithm -- Basic practice -- Neural networks and deep learning -- Problems and solutions -- Advanced practice -- Unsupervised learning -- Other forms of learning.
Summary: Provides a practical guide to get started and execute on machine learning within a few days without necessarily knowing much aboutmachine learningapriori. The first five chapters are enough to get you started and the next few chapters provide you a good feel of more advanced topics to pursue.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Book - Borrowing Book - Borrowing Central Library First floor Baccah 006.31 BUR (Browse shelf(Opens below)) Available 000049235
Total holds: 0

Includes bibliographical references and index.

Notation and definitions -- Fundamental algorithms -- Anatomy of a learning algorithm -- Basic practice -- Neural networks and deep learning -- Problems and solutions -- Advanced practice -- Unsupervised learning -- Other forms of learning.

Provides a practical guide to get started and execute on machine learning within a few days without necessarily knowing much aboutmachine learningapriori. The first five chapters are enough to get you started and the next few chapters provide you a good feel of more advanced topics to pursue.

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