- 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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**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 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 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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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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