Math For Machine Learning

Quora Answer Sean McClure

Linear Algebra
Calculus
Probability
Optimization
  • Heuristics
  • Iterative Methods
This is further broken down, as I show below, by the following subtopics that are prominent in machine learning.
BUT…these topics are best learned in context. Please do not jump into these topics without first building a real-world application (if you’re a Data Scientist) or at least some functioning code (if you’re a researcher). Machine learning success doesn’t happen by memorizing a knowledge-base of fundamentals devoid of real-world context. Since you mentioned for research, you can use the latter approach.
Begin by writing code that solves a problem, and use these mathematical concepts when and where they can help you. This will ensure you learn how these concepts help in real situations.
(current topics submitted by the machine learning community)
Linear Algebra
Calculus
Probability
Optimization
Heuristics
Iterative methods

No comments:

Post a Comment