TY  - BOOK
AU  - Kelleher, Andrew
AU  - Kelleher, Adam
TI  - Machine Learning in Production
SN  - 9789389588507
U1  - 006.31 
PY  - 2025///
CY  - Noida
PB  - Pearson
N2  - 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
ER  -