Submitted by Ashb0rn3_ t3_1182mkd in MachineLearning
PredictorX1 t1_j9f8ept wrote
As a start, I suggest learning the following:
Statistics:
- probability (distributions, basic manipulations)
- statistical summaries (univariate and bivariate)
- hypothesis testing / confidence intervals
- linear regression
Linear Algebra:
- basic understanding of arranging data in vectors and matrices
- operators (matrix multiplication, ...)
Calculus:
- limits
- basic differentiation and integration (at least of polynomials)
Information Theory (Discrete):
- entropy, joint entropy, conditional entropy, mutual information
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