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Linear algebra concepts are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks.
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English [CC]
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				- Learn basic syntax that can apply to any language.
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Description
This course reviews linear algebra with applications to probability and statistics and optimization–and above all a full explanation of deep learning.
Course content
- The Column Space of A Contains All Vectors Ax Unlimited
 - Multiplying and Factoring Matrices Unlimited
 - Orthonormal Columns in Q Give Q’Q = I Unlimited
 - Eigenvalues and Eigenvectors Unlimited
 - Positive Definite and Semidefinite Matrices Unlimited
 - Singular Value Decomposition (SVD) Unlimited
 - Eckart-Young: The Closest Rank k Matrix to A Unlimited
 - Norms of Vectors and Matrices Unlimited
 - Four Ways to Solve Least Squares Problems Unlimited
 - Survey of Difficulties with Ax = b Unlimited
 - Minimizing ‖x‖ Subject to Ax = b Unlimited
 - Computing Eigenvalues and Singular Values Unlimited
 - Randomized Matrix Multiplication Unlimited
 - Low Rank Changes in A and Its Inverse Unlimited
 - Matrices A(t) Depending on t, Derivative = dA/dt Unlimited
 - Derivatives of Inverse and Singular Values Unlimited
 - Rapidly Decreasing Singular Values Unlimited
 - Counting Parameters in SVD, LU, QR, Saddle Points Unlimited
 - Saddle Points Continued, Maxmin Principle Unlimited
 - Definitions and Inequalities Unlimited
 - Minimizing a Function Step by Step Unlimited
 - Gradient Descent: Downhill to a Minimum Unlimited
 - Accelerating Gradient Descent (Use Momentum) Unlimited
 - Linear Programming and Two-Person Games Unlimited
 - Stochastic Gradient Descent Unlimited
 - Structure of Neural Nets for Deep Learning Unlimited
 - Backpropagation: Find Partial Derivatives Unlimited
 - Completing a Rank-One Matrix, Circulants! Unlimited
 - Eigenvectors of Circulant Matrices: Fourier Matrix Unlimited
 - ImageNet is a Convolutional Neural Network (CNN), The Convolution Rule Unlimited
 - Neural Nets and the Learning Function Unlimited
 - Distance Matrices, Procrustes Problem Unlimited
 - Finding Clusters in Graphs Unlimited
 - Alan Edelman and Julia Language Unlimited
 
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Instructor
Massachusetts Institute of Technology
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