Machine Learning in Production
Material type:
TextPublication details: Noida Pearson 2025Description: xxiv, 229p. 24 x 18 cmISBN: - 9789389588507
- 006.31 KEL
| Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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Reference
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Raj Kumar Goel Institute of Technology | AIML (Artificial Intelligence and Machine Learning) | 006.31 KEL (Browse shelf(Opens below)) | Not for loan | 96310 | |
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Reference
|
Raj Kumar Goel Institute of Technology | AIML (Artificial Intelligence and Machine Learning) | 006.31 KEL (Browse shelf(Opens below)) | Not for loan | 96311 |
hapter 1: The Role of the Data Scientist
Chapter 2: Project Workflow
Chapter 3: Quantifying Error
Chapter 4: Data Encoding and Preprocessing
Chapter 5: Hypothesis Testing
Chapter 6: Data Visualization
Part II: Algorithms and Architectures
Chapter 7: Introduction to Algorithms and Architectures
Chapter 8: Comparison
Chapter 9: Regression
Chapter 10: Classification and Clustering
Chapter 11: Bayesian Networks
Chapter 12: Dimensional Reduction and Latent Variable Models
Chapter 13: Causal Inference
Chapter 14: Advanced Machine Learning
Part III: Bottlenecks and Optimizations
Chapter 15: Hardware Fundamentals
Chapter 16: Software Fundamentals
Chapter 17: Software Architecture
Chapter 18: The CAP Theorem
Chapter 19: Logical Network Topological Node
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