Mathematics for Machine Learning and Deep Learning
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. 🔣 🔢
Python 3.0 +
Use jupyter notebook
List of Mathematics:
- Addition, Subtraction, Multiplication, Division, Square Root, and Algebra.
- Shapes, Area, Perimeter, Volume, Points, Lines, Angles, Surfaces, Planes, and Curves
- Data collection, Data Analysis, Probability, Average, Median, Mode, Standard Deviation, and Variances
- Instantaneous rates of change and Slopes of curves, Differential, Integral, Series, Vector, and Multivariable
- Matrices, Vector Spaces, Linear Systems, Gaussian elimination, Linear Systems, Determinant, Eigenvalues and eigenvectors
Will add more...