(PP 1.1) Measure theory: Why measure theory - The Banach-Tarski Paradox
223K views14 years ago
(PP 1.2) Measure theory: Sigma-algebras
175K views14 years ago
(PP 1.3) Measure theory: Measures
80K views14 years ago
(PP 1.4) Measure theory: Examples of Measures
60K views14 years ago
(PP 1.5) Measure theory: Basic Properties of Measures
53K views14 years ago
(PP 1.6) Measure theory: Basic Properties of Measures (continued)
38K views14 years ago
(ML 1.1) Machine learning - overview and applications
384K views14 years ago
(ML 1.2) What is supervised learning?
106K views14 years ago
(ML 1.3) What is unsupervised learning?
80K views14 years ago
(ML 1.4) Variations on supervised and unsupervised
49K views14 years ago
(ML 1.5) Generative vs discriminative models
91K views14 years ago
(ML 1.6) k-Nearest Neighbor classification algorithm
236K views14 years ago
(IC 1.1) Information theory and Coding - Outline of topics
79K views13 years ago
(IC 1.2) Applications of Compression codes
15K views13 years ago
(IC 1.3) Applications of Error-correcting codes
16K views13 years ago
(IC 1.4) Source-channel separation
14K views13 years ago
(IC 1.5) Examples of source-encoder-channel pipelines
9.1K views13 years ago
(IC 1.6) A different notion of "information"
8.1K views13 years ago
(ML 2.5) Generalizations for trees (CART)
34K views12 years ago
(ML 2.4) Growing a classification tree (CART)
37K views12 years ago
(IC 5.14) Finite-precision arithmetic coding - Decoder
9.9K views13 years ago
(IC 5.13) Finite-precision arithmetic coding - Encoder
6.5K views13 years ago
(IC 5.12) Finite-precision arithmetic coding - Setup
6.6K views13 years ago
(IC 5.11) Finite-precision arithmetic coding - Rescaling
6.6K views13 years ago