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All Projects → LastAncientOne → Mathematics_for_Machine_Learning

LastAncientOne / Mathematics_for_Machine_Learning

Licence: MIT license
Learn mathematics behind machine learning and explore different mathematics in machine learning.

Programming Languages

Jupyter Notebook
11667 projects
python
139335 projects - #7 most used programming language

Labels

data-sciencemachine-learningstatisticsdeep-learningcalculusalgebramathcurvesgeometryvectormatrixlinear-algebraprobabilitymathematicsapplicationssoftwarelinear-systemsmatrix-calculations

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Contributors Forks Stargazers Issues MIT License LinkedIn

Mathematics for Machine Learning and Deep Learning

Description:

This is a tutorials for Mathematics in Machine Learning and Deep Learning. There are step-by-step and examples of math problems in machine learning and deep learning. Education for mathematics. 🔣 🔢

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
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