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Numerical Machine LearningSharif JEMAA

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Title: Numerical Machine LearningSharif JEMAA
Description: Numerical Machine Learning is a simple textbook on machine learning that bridges the gap between mathematics theory and practice. The book uses numerical examples with small datasets and simple Python codes to provide a complete walkthrough of the underlying mathematical steps of seven commonly used machine learning algorithms and techniques, including linear regression, regularization, logistic regression, decision trees, gradient boosting, Support Vector Machine, and K-means Clustering.Through a step-by-step exploration of concrete numerical examples, the students (primarily undergraduate and graduate students studying machine learning) can develop a well-rounded understanding of these algorithms, gain an in-depth knowledge of how the mathematics relates to the implementation and performance of the algorithms, and be better equipped to apply them to practical problems. Key features- Provides a concise introduction to numerical concepts in machine learning in simple terms- Explains the 7 basic mathematical techniques used in machine learning problems, with over 60 illustrations and tables- Focuses on numerical examples while using small datasets for easy learning- Includes simple Python codes- Includes bibliographic references for advanced reading The text is essential for college and university-level students who are required to understand the fundamentals of machine learning in their courses.
Authors: Zhiyuan, Wang, Sayed, Ameenuddin Irfan, Christopher, Teoh, Priyanka, Hriday Bhoyar
Resource Type: eBook.
Subjects: Numerical analysis, Machine learning
Categories: COMPUTERS / Data Science / Machine Learning, COMPUTERS / Mathematical & Statistical Software
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-epub
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  Availability: 0
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DbLabel: eBook Collection (EBSCOhost)
An: 3675153
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PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1116.28857421875
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  Data: Numerical Machine LearningSharif JEMAA
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  Label: Description
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  Data: Numerical Machine Learning is a simple textbook on machine learning that bridges the gap between mathematics theory and practice. The book uses numerical examples with small datasets and simple Python codes to provide a complete walkthrough of the underlying mathematical steps of seven commonly used machine learning algorithms and techniques, including linear regression, regularization, logistic regression, decision trees, gradient boosting, Support Vector Machine, and K-means Clustering.Through a step-by-step exploration of concrete numerical examples, the students (primarily undergraduate and graduate students studying machine learning) can develop a well-rounded understanding of these algorithms, gain an in-depth knowledge of how the mathematics relates to the implementation and performance of the algorithms, and be better equipped to apply them to practical problems. Key features- Provides a concise introduction to numerical concepts in machine learning in simple terms- Explains the 7 basic mathematical techniques used in machine learning problems, with over 60 illustrations and tables- Focuses on numerical examples while using small datasets for easy learning- Includes simple Python codes- Includes bibliographic references for advanced reading The text is essential for college and university-level students who are required to understand the fundamentals of machine learning in their courses.
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  Data: <searchLink fieldCode="AR" term="%22Zhiyuan%2C+Wang%22">Zhiyuan, Wang</searchLink><br /><searchLink fieldCode="AR" term="%22Sayed%2C+Ameenuddin+Irfan%22">Sayed, Ameenuddin Irfan</searchLink><br /><searchLink fieldCode="AR" term="%22Christopher%2C+Teoh%22">Christopher, Teoh</searchLink><br /><searchLink fieldCode="AR" term="%22Priyanka%2C+Hriday+Bhoyar%22">Priyanka, Hriday Bhoyar</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Numerical+analysis%22">Numerical analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink>
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RecordInfo BibRecord:
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      – Code: 006.31
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Numerical analysis
        Type: general
      – SubjectFull: Machine learning
        Type: general
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      – TitleFull: Numerical Machine LearningSharif JEMAA
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            NameFull: Zhiyuan, Wang
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            NameFull: Sayed, Ameenuddin Irfan
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            NameFull: Christopher, Teoh
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2023
            – D: 30
              M: 07
              Type: profile
              Y: 2025
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            – Type: isbn-print
              Value: 9789815136999
            – Type: isbn-electronic
              Value: 9789815136982
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            – TitleFull: Numerical Machine LearningSharif JEMAA
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