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Lecture 10 | LLM 2026
1:00:55
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Lecture 9 | LLM 2026
1:03:32
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Lecture 7 | LLM 2026
1:02:33
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Lecture 8 | LLM 2026
4:12
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Intro to Transformers | Lecture 6 | LLM 2026
1:02:42
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Semantic Search Demo
8:36
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Semantic Search Demo | Lecture 5 | LLM 2026
35:16
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DL Fundamentals | Lecture 4 Part 1 | LLM 2026
47:56
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Recommender Systems | Lecture 4 part 2 | LLM 2026
37:18
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Deep Learning Foundations | Lecture 3 | LLM 2026
1:15:45
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Lecture 2 | History of LLMs | LLM 2026
1:00:32
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Lecture 1 | Introduction to LLMs | LLM 2026
51:29
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Perspective on Coding Interviews | ML Interviewing Masterclass | Sairam Tabibu
17:44
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Lecture 3 | LLM 2025 Lectures
1:08:44
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Best Practices of ChatGPT for NLP Applications
42:52
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Business use-cases for LLMs | LLM 2024 Last Lecture
58:22
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TensorFlow Playground Demo (Beginner Friendly)
20:15
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Transformer Architectures Breakdown | Combinations of Encoders and Decoders
8:43
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Lecture 5 (recorded) | Features for Text Data | Bow and Tf-Idf
36:40
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Lecture 5 | Binary Classification and Classification Metrics
1:35:52
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Lecture 1 | Advanced Intro to ML | Winter 2023
1:20:24
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Lecture 2 | Advanced Intro to Machine Learning | Winter 2023
1:39:21
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Lecture 3 | Advanced Intro to Machine Learning | Linear Regression
1:22:35
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Lecture 4 | Overfitting and SGD | Advanced Intro to Machine Learning
1:33:03
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Computer Vision | CNN Architectures | Lecture 11
1:06:33
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Computer Vision | Residual Nets | Lecture 12
1:01:18
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Computer Vision | CNN Introduction | Lecture 10
1:28:18
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Computer Vision | Transfer Learning and Pre-Trained Models | Lecture 13
1:16:02
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Computer Vision | Lecture 7 | Image Classification Metrics and Overfitting
1:21:53
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Lecture 6 - Binary Classification | Computer Vision
1:02:49
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Computer Vision | Lecture 5 | Computational Complexity and Total Variation
1:13:33
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Computer Vision | Lecture 4 | kMeans, kMeans++ and tSNE
1:02:09
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Lecture 2: SVD and Image Compression | Computer Vision Course | Udub, Seattle
21:35
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Lecture 3: SVD and Convolutions | Computer Vision Course | Udub, Seattle
1:27:35
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Computer Vision | Lecture 1 | Udub, Seattle 2022
1:38:03
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Recommender Systems Lecture | SVD, Matrix Factorization and SGD mini-batch
1:47:50
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Introduction to Ranking and Recommendations | Recommender Systems Lectures
1:11:15
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Guest Lecture | ML Ops Lens on Recommender Systems | Kunal Shah
1:39:06
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Guest Lecture | Protein and Drug Interactions through ML | Dr. Saurav Shukla | AI and Health Care
1:23:27
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Guest Lecture | Ayurveda in Today's world | Dr. Shiksha Thakur
57:04
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Guest Lecture by Dr. Shachi Mittal | AI and Health Care course | Udub, Seattle
1:05:37
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Guest Lecture by Dr. Dushyant Sahani (UW Radiology) | AI and Health Care course, UW Seattle
1:30:05
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Guest Lecture by Dr. Khalifeh Al Jadda | Recommender Systems Course | Udub, Seattle
1:41:40