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
Last synced: 2 months ago
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Learn the mathematics behind machine learning and explore various mathematical concepts within machine learning.
- Host: GitHub
- URL: https://github.com/lastancientone/mathematics_for_machine_learning
- Owner: LastAncientOne
- License: mit
- Created: 2018-04-10T05:04:11.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2023-06-22T02:14:55.000Z (about 2 years ago)
- Last Synced: 2025-03-24T09:46:52.678Z (3 months ago)
- Topics: algebra, applications, calculus, curves, data-science, deep-learning, geometry, linear-algebra, linear-systems, machine-learning, math, mathematics, matrix, matrix-calculations, probability, software, statistics, vector
- Language: Jupyter Notebook
- Homepage:
- Size: 12.4 MB
- Stars: 40
- Watchers: 3
- Forks: 27
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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[linkedin-url]: https://linkedin.com/in/tin-hang# 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