Io Parrot experiences snow #parrot #africangreyparrots
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Io Parrot experiences snow #parrot #africangreyparrots
0:19
Io Parrot eating a cracker while perched on her chair #parrot #africangreyparrots #eatingparrot
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Io Parrot eating a cracker while perched on her chair #parrot #africangreyparrots #eatingparrot
0:19
Io Parrot Eats Artichoke
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Io Parrot Eats Artichoke
0:31
Io and the Ball
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Io and the Ball
0:16
How long to reach financial independence?
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How long to reach financial independence?
6:53
Group testing with side information
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Group testing with side information
29:00
Computational complexity (ECE 512 Module 11)
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Computational complexity (ECE 512 Module 11)
15:54
Io Parrot Eats a Sweet Potato
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Io Parrot Eats a Sweet Potato
0:09
July 1, 2023
Dror Baron
July 1, 2023
0:14
Io Parrot eats a cracker and whistles #parrot #whistle #greyparrot
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Io Parrot eats a cracker and whistles #parrot #whistle #greyparrot
0:23
Io Parrot chewing on almond shell while listening to Beethoven #greyparrot #parrot #bird
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Io Parrot chewing on almond shell while listening to Beethoven #greyparrot #parrot #bird
0:06
Io parrot on the table #parrot #greyparrot #table
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Io parrot on the table #parrot #greyparrot #table
0:07
Io Parrot plays with a poster tube #parrot #greyparrot
Dror Baron
Io Parrot plays with a poster tube #parrot #greyparrot
0:14
Io Parrot has carrot juice #parrot #bird
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Io Parrot has carrot juice #parrot #bird
0:09
Io Parrot sitting on her stroller
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Io Parrot sitting on her stroller
0:11
Io Parrot plays with cardboard
Dror Baron
Io Parrot plays with cardboard
0:17
Happy bird eats pear
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Happy bird eats pear
0:26
Io Parrot happily eating
Dror Baron
Io Parrot happily eating
0:08
Dimensionality reduction (ECE 592 Module 51)
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Dimensionality reduction (ECE 592 Module 51)
14:26
Approximate message passing (ECE 592 Module 50)
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Approximate message passing (ECE 592 Module 50)
16:27
Precise performance limits in compressed sensing (ECE 592 Module 49)
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Precise performance limits in compressed sensing (ECE 592 Module 49)
33:41
Information theoretic performance limits (ECE 592 Module 48)
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Information theoretic performance limits (ECE 592 Module 48)
13:39
Optimal sparse recovery (ECE 592 Module 47)
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Optimal sparse recovery (ECE 592 Module 47)
12:50
Sparse recovery (ECE 592 Module 46)
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Sparse recovery (ECE 592 Module 46)
31:18
Compressive signal acquisition (ECE 592 Module 45)
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Compressive signal acquisition (ECE 592 Module 45)
12:20
Compressed sensing (ECE 592 Module 44)
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Compressed sensing (ECE 592 Module 44)
10:46
Multi resolution approximation (ECE 592 Module 43)
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Multi resolution approximation (ECE 592 Module 43)
22:09
Wavelets (ECE 592 Module 42)
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Wavelets (ECE 592 Module 42)
24:52
Frames (ECE 592 Module 41)
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Frames (ECE 592 Module 41)
8:27
Bases (ECE 592 Module 40)
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Bases (ECE 592 Module 40)
25:43
Sparsity (ECE 592 Module 39)
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Sparsity (ECE 592 Module 39)
12:39
Support vector machines (ECE 592 Module 38)
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Support vector machines (ECE 592 Module 38)
7:40
Kernel methods (ECE 592 Module 37)
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Kernel methods (ECE 592 Module 37)
5:20
Basis expansions (ECE 592 Module 36)
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Basis expansions (ECE 592 Module 36)
10:16
Logistic regression (ECE 592 Module 35)
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Logistic regression (ECE 592 Module 35)
8:11
LDA and QDA - linear and quadratic discriminant analysis (ECE 592 Module 34)
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LDA and QDA - linear and quadratic discriminant analysis (ECE 592 Module 34)
29:06
Linear classification (ECE 592 Module 33)
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Linear classification (ECE 592 Module 33)
14:20
Decision trees (ECE 592 Module 32)
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Decision trees (ECE 592 Module 32)
3:33
Shrinkage (ECE 592 Module 31)
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Shrinkage (ECE 592 Module 31)
16:55
Subset selection (ECE 592 Module 30)
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Subset selection (ECE 592 Module 30)
12:48
Clustering (ECE 592 Module 28)
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Clustering (ECE 592 Module 28)
21:01
Decision theory (ECE 592 Module 27)
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Decision theory (ECE 592 Module 27)
20:20
Two classifiers (ECE 592 Module 26)
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Two classifiers (ECE 592 Module 26)
26:48
Linear regression (ECE 592 Module 29)
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Linear regression (ECE 592 Module 29)
23:24
Convex optimization (ECE 592 Module 23)
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Convex optimization (ECE 592 Module 23)
15:44
Linear programming (ECE 592 Module 22)
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Linear programming (ECE 592 Module 22)
14:58
Non-convex optimization (ECE 592 Module 25)
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Non-convex optimization (ECE 592 Module 25)
20:53
Integer programming (ECE 592 Module 24)
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Integer programming (ECE 592 Module 24)
10:02
Dynamic programming (ECE 592 Module 21)
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Dynamic programming (ECE 592 Module 21)
26:09
Motivation for optimization (ECE 592 Module 20)
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Motivation for optimization (ECE 592 Module 20)
10:24
Bird preening in a box
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Bird preening in a box
0:14
Bird playing with box
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Bird playing with box
1:13
Time to Financial Independence
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Time to Financial Independence
31:02
Dancing bird
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Dancing bird
1:16
Arithmetic and geometric series
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Arithmetic and geometric series
17:58
Io Parrot plays with a piece of cork
Dror Baron
Io Parrot plays with a piece of cork
0:37
Profiling (ECE 592 Module 19)
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Profiling (ECE 592 Module 19)
10:56
Trees (ECE 592 Module 18)
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Trees (ECE 592 Module 18)
15:08
Graphs (ECE 592 Module 17)
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Graphs (ECE 592 Module 17)
15:21
Stacks, queues, and linked lists (ECE 592 Module 16)
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Stacks, queues, and linked lists (ECE 592 Module 16)
19:37
Io Parrot whistles
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Io Parrot whistles
0:10
Io Parrot becoming an outdoor birdie
Dror Baron
Io Parrot becoming an outdoor birdie
0:14
Happy bird having an almond
Dror Baron
Happy bird having an almond
0:14
Io Parrot eating a potato
Dror Baron
Io Parrot eating a potato
0:37
Parallel processing (ECE 592 Module 15)
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Parallel processing (ECE 592 Module 15)
6:13
Computational architectures (ECE 592 Module 14)
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Computational architectures (ECE 592 Module 14)
14:53
Divide and conquer (ECE 592 Module 13)
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Divide and conquer (ECE 592 Module 13)
10:27
Algorithm selection (ECE 592 Module 12)
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Algorithm selection (ECE 592 Module 12)
15:36
Computational complexity (ECE 592 Module 11)
Dror Baron
Computational complexity (ECE 592 Module 11)
13:59
Decoding perspective on model complexity (ECE592 Module 7C)
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Decoding perspective on model complexity (ECE592 Module 7C)
11:28
Information penalty for learning (ECE592 Module 7B)
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Information penalty for learning (ECE592 Module 7B)
15:35
Model complexity (ECE 592 Module 7A)
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Model complexity (ECE 592 Module 7A)
10:53
Orders of growth (ECE 592 Module 10)
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Orders of growth (ECE 592 Module 10)
17:12
Resource consumption of algorithms (ECE 592 Module 9)
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Resource consumption of algorithms (ECE 592 Module 9)
22:12
Kolmogorov complexity (ECE 592 Module 8)
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Kolmogorov complexity (ECE 592 Module 8)
8:10
ECE 592 Module 7
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ECE 592 Module 7
24:40
Minimum description length (ECE 592 Module 6)
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Minimum description length (ECE 592 Module 6)
31:27
Machine learning terminology (ECE 592 Module 5)
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Machine learning terminology (ECE 592 Module 5)
6:32
Random variables (ECE 592 Module 4)
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Random variables (ECE 592 Module 4)
31:24
Probability spaces and Bayes' rule (ECE 592 Module 3)
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Probability spaces and Bayes' rule (ECE 592 Module 3)
25:41
Curve fitting (ECE 592 Module 2)
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Curve fitting (ECE 592 Module 2)
20:34
Motivation for data science (ECE 592 Module 1)
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Motivation for data science (ECE 592 Module 1)
15:05
Compressive Imaging via Approximate Message Passing
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Compressive Imaging via Approximate Message Passing
9:15
Universal denoising and approximate message passing
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Universal denoising and approximate message passing
9:54
Size- and level-adaptive Markov chain Monte Carlo
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Size- and level-adaptive Markov chain Monte Carlo
8:53
Parallel Algorithms for Universal Compression
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Parallel Algorithms for Universal Compression
10:16
Signal reconstruction with additive error metrics
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Signal reconstruction with additive error metrics
7:04
Visualization of signal reconstruction with additive error metrics
Dror Baron
Visualization of signal reconstruction with additive error metrics
2:14