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The hundred-page machine learning book / Andriy Burkov.

By: Burkov, Andriy [author. ]
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: volumeISBN: 9781999579500; 199957950XSubject(s): Machine learning | Materials science -- Data processing | Informatics and Computer Science July2020Genre/Form: -- Reading book DDC classification: 006.31
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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Item type Current location Collection Call number Status Date due Barcode Item holds
Book - Borrowing Book - Borrowing Central Library
First floor
Baccah 006.31 BUR (Browse shelf) 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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