Resources

To copy paste over each section/chapter’s Further Readings section to the below sections.

Books/Courses

• https://statproofbook.github.io/

Calculus

• https://www.khanacademy.org/math/calculus-1

• https://tutorial.math.lamar.edu/

• https://tutorial.math.lamar.edu/classes/calciii/DoubleIntegrals.aspx

Convolution

• 3blue1brown: https://www.youtube.com/watch?v=KuXjwB4LzSA&t=1s

• Chapter 4.6.4 of Chan’s book.

Maximum Likelihood Estimation

• https://d2l.ai/chapter_appendix-mathematics-for-deep-learning/maximum-likelihood.html

Multivariate Normal

• https://peterroelants.github.io/posts/multivariate-normal-primer/

Visualizations

• Python Graph Gallery

• Seaborn Visualizing distributions

  • Jointplot for bivariate distributions

  • Histplot for bivariate distributions