Maths for ML

Index

Links to my notes on learning maths for ML.

Topics

Linear Algebra

1. Introduction & Notation
2. Matrices
3. Tensors
4. Eigenvectors

Ch 1-7 Strang ¹ Ch 2 Goodfellow ²

Statistics

Ch 3 Goodfellow ³ Ch 1 Barber ⁴

Calculus

Appendix 2 Barber ⁵

References

Footnotes

1. Gilbert Strang. Introduction to linear algebra. Cambridge Press, Wellesley, MA, 2016.

2. Ian Goodfellow et Al. Deep learning. MIT press, 2016.

3. Ian Goodfellow et Al. Deep learning. MIT press, 2016.

4. David Barber. Bayesian reasoning and machine learning. Cambridge University Press, 2012.

5. David Barber. Bayesian reasoning and machine learning. Cambridge University Press, 2012.