PRML Solution Manual

My own comprehensive solution manual for Chris Bishop's Pattern Matching and Machine Learning exercises. The document is written using LaTeX and the PDF file can be accessed here.

Progress

1. Chapter 1 - Introduction: 34/41 ⮕ 1.15, 1.16, 1.20, 1.25, 1.26, 1.27, 1.34
2. Chapter 2 - Probability Distributions: 10/61 ⮕ Already done most exercises on paper. Maybe complete this at some point.
3. Chapter 3 - Linear Models for Regression: 24/24
4. Chapter 4 - Linear Classification Models for Classification: 20/26 ⮕ 4.2, 4.3, 4.6, 4.20, 4.23, 4.24, 4.26
5. Chapter 5 - Neural Networks: 37/41 ⮕ 5.22, 5.28, 5.40, 5.41
6. Chapter 6 - Kernel Methods: 18/24
7. Chapter 7 - Sparse Kernel Machines: WIP