Introduction to machine learning / Jacob Pearson.
Material type:
TextPublication details: Forest Hills, NY : Willford Press, 2022.Description: viii, 232 pages ; 25 cmContent type: - text
- unmediated
- volume
- 9781647284022
- 23 006.31 P317i
- Q325.5
Contents:
Basics of machine learning -- Understanding clustering -- Dimensional reductions for machine learning -- Classification techniques -- Theories of machine learning -- Algorithms in machine learning.
| Item type | Current library | Shelving location | Call number | Copy number | Status | Date due | Barcode | |
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Main Library | Circulation Section | CIR 006.31 P317i 2022 (Browse shelf(Opens below)) | 1-1 | Available | 028110 |
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| CIR 006.31 F273c 2020 A concise introduction to machine learning | CIR 006.31 F962 2018 Fundamentals of machine learning | CIR 006.31 L296m 2019 Machine learning with R : expert techniques for predictive modeling / | CIR 006.31 P317i 2022 Introduction to machine learning / | CIR 006.31 St296 2023 Statistical modeling in machine learning : concepts and applications / | CIR 006.31 T413 2021 3GE collection on computer science : social media and machine learning. | CIR 006.310151922 C831r 2023 Random matrix methods for machine learning / |
Includes bibliographical references and index.
Basics of machine learning -- Understanding clustering -- Dimensional reductions for machine learning -- Classification techniques -- Theories of machine learning -- Algorithms in machine learning.
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