6 Math Foundation to Start Learning Machine Learning - Deepstash
  • Math enables you to select the right machine learning algorithm. It gives insight into how the model works, including selecting the right model parameter and validation strategies.

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6 Math Foundation to Start Learning Machine Learning

towardsdatascience.com

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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...

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Linear Algebra

Linear Algebra in machine learning is a systematic representation of data that computers can understand.

  • It is the part of mathematics that uses vector space

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Analytic Geometry (Coordinate Geometry)

Analytic geometry is concerned with defining and representing geometrical shapes numerically. It extracts numerical information from the shapes numerical definitions and representa...

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Matrix decomposition is about how to reduce a matrix into its constituent parts. It tries to simplify complex matrix operations on the decomposed matrix instead of the original mat...

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Calculus is concerned with a perpetual change that consists of functions and limits. Vector calculus involves the differentiation and integration of the vector fields.

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Probability is the study of randomness. Probability distribution is a function that measures the probability of a specific outcome associated with the random varia...

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Optimisation

Training a machine learning model is about finding a good set of parameters. The best value is the minimum value.

  • Global minima: The point where a function best values t...

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