Getting yourself ready for being a Machine Learning Engineer

At the core, its all about knowing:

  1. Probability
  2. Statistics
  3. Linear Algebra
  4. Calculus

My top resources for

  1. Probability and statistics :
  2. Calculus : https://ocw.mit.edu/courses/mathematics/18-01sc-single-variable-calculus-fall-2010/
  3. Bayesian Analytics: https://www.coursera.org/learn/bayesian-statistics/home/info

The best way to start Machine Learning is Andrew NG’s flagship course: https://www.coursera.org/learn/machine-learning

 

Aside: I plan to make this a living document. I will update it as and when I find new resources.

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