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https://github.com/lastancientone/mathematics_for_machine_learning

Learn the mathematics behind machine learning and explore various mathematical concepts within machine learning.
https://github.com/lastancientone/mathematics_for_machine_learning

algebra applications calculus curves data-science deep-learning geometry linear-algebra linear-systems machine-learning math mathematics matrix matrix-calculations probability software statistics vector

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Learn the mathematics behind machine learning and explore various mathematical concepts within machine learning.

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# Mathematics for Machine Learning and Deep Learning

## Description:
This tutorial provides an overview of Mathematics in Machine Learning and Deep Learning, including step-by-step explanations and examples of math problems in these fields. Its aim is to enhance your understanding of mathematics in relation to machine learning and deep learning education. :symbols: :1234:

## Prerequisites:
Python 3.0 +
Use jupyter notebook

## List of Mathematics:
### Basic Mathemathics
- Addition, Subtraction, Multiplication, Division, Square Root, and Algebra.
### Geometry
- Shapes, Area, Perimeter, Volume, Points, Lines, Angles, Surfaces, Planes, and Curves
### Statistics
- Data collection, Data Analysis, Probability, Average, Median, Mode, Standard Deviation, and Variances
### Calculus
- Instantaneous rates of change and Slopes of curves, Differential, Integral, Series, Vector, and Multivariable
### Linear Algebra
- Matrices, Vector Spaces, Linear Systems, Gaussian elimination, Linear Systems, Determinant, Eigenvalues and eigenvectors

## Author:
* Tin Hang