introduction: videos

Pick anything below and it plays in the bar at the foot of the window — and keeps playing while you go on browsing the directory.

1. 1▶AKT Inhibition in Prostate Cancer — Microlearning Activity 2: Proceedings from a Session Held Adjunct to the 2026 ASCO GU Cancers SymposiumResearch To Practice | Oncology Videos18:57Notes
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2. 2▶AKT Inhibition in Prostate Cancer — Microlearning Activity 1: Proceedings from a Session Held Adjunct to the 2026 ASCO GU Cancers SymposiumResearch To Practice | Oncology Videos16:56Notes
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3. 3▶Gastroesophageal Cancers — Year in Review Series on Relevant New Datasets and AdvancesResearch To Practice | Oncology Videos1:00:00Notes
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4. 4▶Gastroesophageal Cancers | David H Ilson, MD, PhDResearch To Practice | Oncology Videos26:11Notes
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5. 5▶Gastroesophageal Cancers | Kohei Shitara, MDResearch To Practice | Oncology Videos18:56Notes
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6. 6▶Genitourinary Cancers — Reviewing Key Presentations from the 2026 ASCO Annual MeetingResearch To Practice | Oncology Videos1:30:12Notes
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7. 7▶For Oncology Nurses: Oral Selective Estrogen Receptor Degraders in Breast Cancer — Proceedings from the 2026 Annual ONS CongressResearch To Practice | Oncology Videos1:27:50Notes
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8. 8▶Metastatic Bladder Cancer — Rapid Case Review Issue 6Research To Practice | Oncology Videos25:49Notes
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9. 9▶Metastatic Bladder Cancer — Rapid Case Review Issue 5Research To Practice | Oncology Videos28:41Notes
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10. 10▶Multiple Myeloma — Year in Review Series on Relevant New Datasets and AdvancesResearch To Practice | Oncology Videos57:45Notes
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11. 11▶Multiple Myeloma | Robert Z Orlowski, MD, PhDResearch To Practice | Oncology Videos20:43Notes
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12. 12▶Multiple Myeloma | Amrita Krishnan, MDResearch To Practice | Oncology Videos15:07Notes
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13. 13▶Non-Muscle-Invasive and Muscle-Invasive Bladder Cancer — Microlearning Activity 2: Proceedings from a Session Held Adjunct to the 2026 ASCO GU Cancers SymposiumResearch To Practice | Oncology Videos20:23Notes
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14. 14▶Non-Muscle-Invasive and Muscle-Invasive Bladder Cancer — Microlearning Activity 1: Proceedings from a Session Held Adjunct to the 2026 ASCO GU Cancers SymposiumResearch To Practice | Oncology Videos22:48Notes
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15. 15▶Non-Hodgkin Lymphoma — Proceedings from a Session Held in Conjunction with the 2026 ASCO Annual Meeting on the Roles of CAR T-Cell Therapy and Bispecific AntibodiesResearch To Practice | Oncology Videos1:59:31Notes
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16. 16▶Prostate Cancer — Proceedings from a Session Held in Conjunction with the 2026 ASCO Annual MeetingResearch To Practice | Oncology Videos1:59:08Notes
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17. 17▶MIT 6.S191: Secrets of Massively Parallel TrainingMIT 6.S191: Introduction to Deep LearningNotes
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18. 18▶MIT 6.S191: AI for ScienceMIT 6.S191: Introduction to Deep LearningNotes
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19. 19▶MIT 6.S191: The Three Laws of AIMIT 6.S191: Introduction to Deep LearningNotes
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20. 20▶MIT 6.S191: Language Models and New FrontiersMIT 6.S191: Introduction to Deep LearningNotes
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21. 21▶MIT 6.S191: Reinforcement LearningMIT 6.S191: Introduction to Deep LearningNotes
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22. 22▶MIT 6.S191: Deep Generative ModelingMIT 6.S191: Introduction to Deep LearningNotes
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23. 23▶MIT 6.S191: Convolutional Neural NetworksMIT 6.S191: Introduction to Deep LearningNotes
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24. 24▶MIT 6.S191: Recurrent Neural Networks, Transformers, and AttentionMIT 6.S191: Introduction to Deep LearningNotes
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25. 25▶MIT Introduction to Deep Learning | 6.S191MIT 6.S191: Introduction to Deep LearningNotes
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26. 26▶Lecture 13 Fall 2025: Support Vector MachinesMathematical Foundations of Machine Learning at UChicagoNotes
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27. 27▶Lecture 14 Fall 2025: Gradient Descent and Stochastic Gradient DescentMathematical Foundations of Machine Learning at UChicagoNotes
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28. 28▶Introducción: Aida Aracely Escalante VillacañaPolly LingualNotes
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29. 29▶Introduction: Maeve Jade MacionPolly LingualNotes
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30. 30▶Introducción: Jhennifer BatallanosPolly LingualNotes
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31. 31▶Introduction: Olga StrongPolly LingualNotes
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32. 32▶Introduction: Marta FialhoPolly LingualNotes
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33. 33▶Verbs to talk about the weather in SpanishPolly LingualNotes
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34. 34▶Introduction: Natalia ÁlvarezPolly LingualNotes
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35. 35▶Lecture 12 Fall 2025: Pseudoinverse and Kernel Ridge RegressionMathematical Foundations of Machine Learning at UChicagoNotes
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36. 36▶Lecture 11 Fall 2025: PageRank and Ridge RegressionMathematical Foundations of Machine Learning at UChicagoNotes
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37. 37▶Lecture 10 Fall 2025: Data Leakage and Matrix CompletionMathematical Foundations of Machine Learning at UChicagoNotes
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38. 38▶Lecture 15 - Optimization and Learning for Robot Control - Implementing MPC on a manipulatorOptimization and Learning for Robot Control 2025Notes
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39. 39▶Lecture 9 Fall 2025: Principal Components AnalysisMathematical Foundations of Machine Learning at UChicagoNotes
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40. 40▶Lecture 8 Fall 2025: Singular Value DecompositionMathematical Foundations of Machine Learning at UChicagoNotes
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41. 41▶Discrete Optimization Lecture 15: Dynamic ProgrammingDiscrete Optimization (University of Victoria Math 428/529)Notes
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42. 42▶Lecture 14 - Optimization and Learning for Robot Control - LAB Collision avoidanceOptimization and Learning for Robot Control 2025Notes
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43. 43▶Lecture 13 - Optimization and Learning for Robot Control - Model Predictive Control (part 2)Optimization and Learning for Robot Control 2025Notes
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44. 44▶Lecture 12 - Optimization and Learning for Robot Control - LAB Trajectory OptimizationOptimization and Learning for Robot Control 2025Notes
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45. 45▶Discrete Optimization Lecture 14: List ColouringDiscrete Optimization (University of Victoria Math 428/529)Notes
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46. 46▶Lecture 7 Fall 2025: Introduction to the Singular Value DecompositionMathematical Foundations of Machine Learning at UChicagoNotes
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47. 47▶Discrete Optimization Lecture 13: Edge ColouringDiscrete Optimization (University of Victoria Math 428/529)Notes
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48. 48▶Lecture 6 Fall 2025: Finding Orthogonal BasesMathematical Foundations of Machine Learning at UChicagoNotes
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49. 49▶Lecture 5 Fall 2025: Subspaces and BasesMathematical Foundations of Machine Learning at UChicagoNotes
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50. 50▶Lecture 11 - Optimization and Learning for Robot Control - Model Predictive Control (part 1)Optimization and Learning for Robot Control 2025Notes
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