Bayesian Statistics
From Concept to Data Analysis

How to get better at math as a fresh college graduate?

The title is pretty self-explanatory. I recently graduated from a CS bachelor degree which included a few math courses (ie. algebra, calculus, differential equations, analytic geometry, probabilities and statistics and numerical computation). I always liked math ever since high school, however in uni it wasn't the focus of my degree.

Fast forward to now, I'm really interested in machine learning and it applications and want to get a better grasp on its theoretical concepts. For this reason I started reading An Introduction to Statistical Learning. I also started doing two courses on Coursera on Bayesian statistics (this one and it sequel) to strengthen my understanding of probabilities.

Now comes the problem. Although I find that the courses do help me and I can follow the proofs in the book with some effort, I don't really feel that I practice the concepts enough. Now that there are no live classes with homework and assignments I don't really know how to practice math by myself. Coursera does offer that to some extent, but it's a limited and small set of exercises.

So the question is, /r/learnmath: how do you practice math at a college level all by yourself? How to you chose what exercises to do and what resources do you use? How do you get to a level where you could write a simple proof like some of those in the book all by yourself?

Highly recommend this course

https://www.coursera.org/learn/bayesian-statistics

Something like this? https://www.coursera.org/learn/bayesian-statistics

Coursera has some good courses. Since it’s more my background I’ll suggest the Bayesian statistics course:

https://www.coursera.org/learn/bayesian-statistics

I highly doubt it except any course they have up on edX. However, there are other unis on edX and Coursera that offer courses relating to Bayesian Stats. For example: https://www.coursera.org/learn/bayesian-statistics?

Started a course in bayesian statistics. It's going very smoothly, the instructor is very clear and the problems are interesting. It might be too basic though, since I keep getting 100% in the problem sets (even in the honors). This is the first week, perhaps by the second week things will be a bit harder. There's a second course as a followup which looks even more interesting. Can't wait to start that too.

There are two. I jumped right into the second one, but they seem to reference the first course quite a bit:

1st level: https://www.coursera.org/learn/bayesian-statistics

2nd level: https://www.coursera.org/learn/mcmc-bayesian-statistics

I think these two will be very useful:

Bayesian statistics course: https://www.coursera.org/learn/bayesian-statistics

Bayesian methods for ML: https://www.coursera.org/learn/bayesian-methods-in-machine-learning

Yes, there are many free courses that you can use to learn the prerequisite mathematics. KhanAcademy would be my first recommendation, but you can also try some of these:

Inferential Statistics https://www.coursera.org/learn/inferential-statistics

Bayesian Statistics: From Concept to Data Analysis https://www.coursera.org/learn/bayesian-statistics

Inferential Statistics Intro https://www.coursera.org/learn/inferential-statistics-intro

Bayesian Statistics https://www.coursera.org/learn/bayesian

Basic Statistics https://www.coursera.org/learn/basic-statistics

Introduction to Probability https://www.edx.org/course/introduction-probability-science-mitx-6-041x-2

Introduction to Linear Models and Matrix Algebra https://www.edx.org/course/introduction-linear-models-matrix-harvardx-ph525-2x-2

Intro to Descriptive Statistics https://www.udacity.com/course/intro-to-descriptive-statistics--ud827

Intro to Inferential Statistics https://www.udacity.com/course/intro-to-inferential-statistics--ud201

Mathematics for Computer Science https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2010/index.htm

An Intuitive Introduction to Probability https://www.coursera.org/learn/introductiontoprobability

Statistical Inference https://www.coursera.org/learn/statistical-inference

College Algebra and Problem Solving https://www.edx.org/course/college-algebra-problem-solving-asux-mat117x

Precalculus https://www.edx.org/course/precalculus-asux-mat170x