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37:36
Selected Algorithms and Data Structures: prime numbers
2:11:04
Algorithms and Data Structures: 11th lecture (selected topics)
1:20:59
Selected Algorithms and Data Structures: Bloom filter
0:31
NVIDIA DGX Spark at #GTCParis, great keynote of CEO Jensen Huang
1:07:23
Big Data: guest lecture (distributed system design by Google)
1:34:44
Algorithms and Data Structures: 10th lecture (maps and hash tables, selected topics)
38:37
Selected Algorithms and Data Structures: fast matrix multiplication
31:14
Selected Algorithms and Data Structures: fast inverse square root
46:12
Big Data: guest lecture (AI and IT in construction by Apfelboeck Engineering)
2:52:32
Algorithms and Data Structures: 9th lecture (trees, maps and hash tables)
43:25
Big Data: guest lecture (how AI is reinventing software companies by DOMUS Software)
17:18
Algorithms and Data Structures: lab (recursion)
1:33:33
Algorithms and Data Structures: 8th lecture (trees)
2:42:37
Algorithms and Data Structures: 7th lecture (recursion, sorting)
1:03:10
Big Data: guest lecture (generative agents by Tristan Behrens)
1:41:04
Algorithms and Data Structures: 6th lecture (recursion)
2:49:26
Computer Vision: 5th lecture (image sequence processing, foundations of mobile robotics, outlook)
2:36:59
Big Data: 5th lecture (uncertainty in learning, big data for NLP, quantum computing)
2:46:34
Algorithms and Data Structures: 5th lecture (lists)
3:01:40
Computer Vision: 4th lecture (image sequence processing)
1:28:53
Big Data: 4th lecture (big data, small data, all data, uncertainty in learning)
1:20:03
Algorithms and Data Structures: 4th lecture (complexity analysis)
3:04:51
Computer Vision: 3rd lecture (object recognition, convolutional neural networks)
1:27:31
Big Data: 3rd lecture (big data architectures, big data, small data, all data, MLOps)
1:31:13
Algorithms and Data Structures: 3rd lecture (graphs, complexity analysis)
1:28:54
Big Data: 2nd lecture (parallelism, big data architectures)
2:00:22
Algorithms and Data Structures: 2nd lecture (graphs)
3:01:16
Computer Vision: 2nd lecture (regions of images and segmentation, feature detection)
1:44:44
Algorithms and Data Structures: 1st lecture (introduction, graphs)
1:16:29
Algorithms and Data Structures: lab (introduction to Python)
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