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dextran v02c detect clumps
0:11
dextran v02c detect clumps
dextran v02b hough circles
0:11
dextran v02b hough circles
dextran v01c edged
0:11
dextran v01c edged
dextran v02d detect clumps
0:11
dextran v02d detect clumps
dextran v02e detect clumps
0:11
dextran v02e detect clumps
CS549 - Evaluation of models
1:14:36
CS549 - Evaluation of models
CS460 - Divide and conquer: maximum subarray problem
59:01
CS460 - Divide and conquer: maximum subarray problem
CS549 - Logistic regression model
1:01:08
CS549 - Logistic regression model
CS460 - Growth of functions: Asymptotic notations
1:11:00
CS460 - Growth of functions: Asymptotic notations
CS549 - Linear regression solved with gradient descent
41:06
CS549 - Linear regression solved with gradient descent
CS460 - Getting started: Merge sort
1:15:56
CS460 - Getting started: Merge sort
CS549 - Linear regression and normal equation solution
1:14:55
CS549 - Linear regression and normal equation solution
CS460 - Getting started: Insertion sort
1:18:04
CS460 - Getting started: Insertion sort
CS549 - Python, Jupyter, and numpy
1:14:38
CS549 - Python, Jupyter, and numpy
CS549 - Introduction
1:17:20
CS549 - Introduction
CS460 - Introduction
1:17:29
CS460 - Introduction
Principal Component Analysis
1:03:33
Principal Component Analysis
Clustering algorithms: Hierarchical clustering and DBSCAN
31:05
Clustering algorithms: Hierarchical clustering and DBSCAN
A brief introduction to GANs
30:34
A brief introduction to GANs
A brief lecture about NP-completeness
46:09
A brief lecture about NP-completeness
Review for final exam
5:09
Review for final exam
Single source shortest paths problem for dag (directional, acyclic graph).
18:31
Single source shortest paths problem for dag (directional, acyclic graph).
Clustering algorithms: K-means and mixture of Gaussians
1:13:35
Clustering algorithms: K-means and mixture of Gaussians
Single source shortest paths problem: Bellman-Ford algorithm and Dijkstra's algorithm
1:17:48
Single source shortest paths problem: Bellman-Ford algorithm and Dijkstra's algorithm
Principal component analysis (PCA) (part 2)
43:46
Principal component analysis (PCA) (part 2)
Principal component analysis (PCA) (part 1)
30:57
Principal component analysis (PCA) (part 1)
Minimum spanning trees (part 2): Prim's algorithm
49:42
Minimum spanning trees (part 2): Prim's algorithm
Shortest paths problem: Problem background
15:05
Shortest paths problem: Problem background
Deep contextualized representations (part 2): Transformer, GPT, and BERT
1:01:02
Deep contextualized representations (part 2): Transformer, GPT, and BERT
Minimum spanning trees: Generic method and Kruskal Algorithm
1:11:45
Minimum spanning trees: Generic method and Kruskal Algorithm
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