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Overview
Learn math for data science, machine learning, linear algebra, calculus, probability theory, discrete Math, Statistics. What you'll learn: Introduction to matrix Gauss's elimination method Properties of matrix and determinants Echelon and reduce echelon form Vector spaces Linearly dependent and independent set of vectors in vector spaces Basis of a vector spacelinear transformation and related example and exercises Inner product spaces Eigen values and eigen vectors Introduction to ODE's and PDE's Probability and statistics What is a sample space?Mean, median and...
Syllabus
- Introduction to Matrix
- Solution of Matrix
- Gauss's Elimination Method
- Vector Spaces
- Eigen Values and Eigen Vectors
- Sets and Venn Diagram
- Probability and Statistics
- Permutations and Combinations
- Pi Chart and Bar Graph
- Standard Deviation
Instructor
AD Chauhdry
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