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Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (Spring 2018) (M-I-T)

(34 Lectures Available)

S# Lecture Course Institute Instructor Discipline
26
  • Lecture 35: Finding Clusters in Graphs (M-I-T)
Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (Spring 2018) (M-I-T) MIT Prof. Dr. Gilbert Strang Basic and Health Sciences
27
  • Lecture 36: Alan Edelman and Julia Language (M-I-T)
Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (Spring 2018) (M-I-T) MIT Prof. Dr. Alan Edelman Basic and Health Sciences
28
  • Lecture 3: Orthonormal Columns in Q Give Q’Q = I (M-I-T)
Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (Spring 2018) (M-I-T) MIT 53 Basic and Health Sciences
29
  • Lecture 4: Eigenvalues and Eigenvectors (M-I-T)
Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (Spring 2018) (M-I-T) MIT Prof. Dr. Gilbert Strang Basic and Health Sciences
30
  • Lecture 5: Positive Definite and Semidefinite Matrices (M-I-T)
Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (Spring 2018) (M-I-T) MIT Prof. Dr. Gilbert Strang Basic and Health Sciences
31
  • Lecture 6: Singular Value Decomposition (SVD) (M-I-T)
Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (Spring 2018) (M-I-T) MIT Prof. Dr. Gilbert Strang Basic and Health Sciences
32
  • Lecture 7: Eckart-Young: The Closest Rank k Matrix to A (M-I-T)
Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (Spring 2018) (M-I-T) MIT Prof. Dr. Gilbert Strang Basic and Health Sciences
33
  • Lecture 8: Norms of Vectors and Matrices (M-I-T)
Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (Spring 2018) (M-I-T) MIT Prof. Dr. Gilbert Strang Basic and Health Sciences
34
  • Lecture 9: Four Ways to Solve Least Squares Problems (M-I-T)
Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (Spring 2018) (M-I-T) MIT Prof. Dr. Gilbert Strang Basic and Health Sciences

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