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Outline
Linear Algebra for Machine Learning
Introduction to Vectors
Introduction to Matrices
Linear Algebra for Machine Learning
Author:
Krishna Sainath Tulluri
,
Vikash Srivastava
Topic:
Algebra
Linear Algebra for Machine Learning
Table of Contents
Introduction to Vectors
Introduction to Linear Algebra
What is a vector ?
Introduction to Vectors
Scaling Vectors
Vector Addition
Adding Vectors Geometrically
Vector Subtraction
Dot Product Insight
Vector Projections
Orthogonality Illustrated
Cross Product Insight
Vector Norms
Introduction to Matrices
Theory of Matrices
Determinant of a matrix
Inverse of a matrix
Eigenvalues & Eigenvectors
Next
Introduction to Linear Algebra
New Resources
koch tool
The black friday GeoGebra :)
Science Park 1
Cobb-Douglas Production Function
Nikmati Keunggulan Di Bandar Judi Terpercaya
Discover Resources
UCSS Math I 5.3.2 Example 4
perpendicular and angle bisector
y= sin (bx)
Angle between a tangent and a chord
Perpendicular Bisectors
Discover Topics
Vectors
Diagrams
Perimeter
Confidence Interval
Logic