Math used in machine learning - Deepstash

Math used in machine learning

Machine Learning is a tool that Data scientists use to obtain valuable patterns. Learning the math behind machine learning could give you an edge.

These six math subjects are the foundation for machine learning.

  1. Linear Algebra
  2. Analytic Geometry
  3. Matrix Decomposition
  4. Vector Calculus
  5. Probability & Distributions
  6. Optimisation

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Everything in life can teach you a lesson. You just have to be willing to learn.

The idea is part of this collection:

How To Become a Better Decision-Maker

Learn more about problemsolving with this collection

Understanding the importance of decision-making

Identifying biases that affect decision-making

Analyzing the potential outcomes of a decision

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