Mathematics

Mathematics and statistics play important role in developing machine learning and data science related applications. Advanced mathematics is not required to get started but it helps to understand the machine learning concepts in great detail.

The following topics are generally recommended to get familiar with before getting started with machine learning tutorial −

Algebra

• Variables, coefficients, functions.

• Linear equations, logarithm and logarithmic equations, sigmoid function.

Linear Algebra

• Vector and matrix, matrix multiplication, dot product

• tensor and tensor ranks

Statistics and Probability

• Mean, median, mode, outliers, and standard deviation

• Ability to read a histogram

• Probability, conditional probability, Bayes rules

Calculus

• Concept of a derivative, gradient, or slope

• Partial derivatives

• Chain rule

Trigonometry

• Trigonometric functions (specially tanh) used in activation functions