My handwritten solutions to exercises from the book "Mathematics for Machine Learning" by Deisenroth, Faisal, and Ong.
A PDF file containing scanned solutions for the exercises for each chapter from Part I (Mathematical Foundations). The chapters are as follows:
- Chapter 2: Linear Algebra
- Chapter 3: Analytic Geometry
- Chapter 4: Matrix Decompositions
- Chapter 5: Vector Calculus
- Chapter 6: Probability and Distributions
- Chapter 7: Continuous Optimization
There is also helper code for Chapter 6, specifically Exercise 6.2, where the means, modes and medians of certain Gaussian mixtures need to be computed numerically.
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The repository also contains notebooks relating to Part II (Central Machine Learning Problems). This mostly involves explicit experiments with concepts. As there are no formal exercises in this part of the book, the content of the notebooks is somewhat scattered.