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Machine Learning/ Saikat Dutt, Subramanian Chandramouli, Amit Kumar Das
Material type:
TextLanguage: English Publication details: India: Pearson, c2025Edition: 2nd edDescription: xxx, 526 p.: 24 cmISBN: - 9788119896738
- 006.31/ D979m/ 2025
Contents:
1. Introduction to Machine Learning -- 2. Preparing to Model -- 3. Modelling and Evaluation -- 4. Basics of Future Engineering -- 5. Brief Overview of Probability
| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
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Books
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Bangladesh University of Business and Technology Library Computer Science Stacks | Bangladesh University of Business and Technology Library | Non-fiction | 006.31/ D979m/ 2025 (Browse shelf(Opens below)) | C-1 | Not For Loan | BUBTL-200331207 | |||||||||||
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Books
|
Bangladesh University of Business and Technology Library Computer Science Stacks | Bangladesh University of Business and Technology Library | Non-fiction | 006.31/ D979m/ 2025 (Browse shelf(Opens below)) | C-2 | Not For Loan | BUBTL-200331208 |
Total holds: 0
Browsing Bangladesh University of Business and Technology Library shelves,Shelving location: Computer Science Stacks,Collection: Non-fiction Close shelf browser (Hides shelf browser)
| 006.31 ALI Introduction to Machine Learning/ | 006.31 ALI Introduction to Machine Learning/ | 006.31/ D979m/ 2025 Machine Learning/ | 006.31/ D979m/ 2025 Machine Learning/ | 006.31 / K28f Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies / | 006.31 / K28f Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies / | 006.31 / K28f Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies / |
Includes Index
1. Introduction to Machine Learning -- 2. Preparing to Model -- 3. Modelling and Evaluation -- 4. Basics of Future Engineering -- 5. Brief Overview of Probability
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