| S# |
Lecture |
Course |
Institute |
Instructor |
Discipline |
| 3726 |
Deep Generative Modeling (M-I-T)
|
Deep Learning (2020) (M-I-T)
|
MIT
|
Ava Soleimany
|
Applied Sciences
|
| 3727 |
Deep Learning New Frontiers (M-I-T)
|
Deep Learning (2020) (M-I-T)
|
MIT
|
Ava Soleimany
|
Applied Sciences
|
| 3728 |
Generalizable Autonomy for Robot Manipulation (M-I-T)
|
Deep Learning (2020) (M-I-T)
|
MIT
|
Animesh Garg
|
Applied Sciences
|
| 3729 |
Introduction to Deep Learning | 6.S191
|
Deep Learning (2020) (M-I-T)
|
MIT
|
Alexander Amini
|
Applied Sciences
|
| 3730 |
Lecture 10: Continuous Bayes' Rule; Derived Distributions (M-I-T)
|
Probabilistic Systems Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. John Tsitsiklis
|
Applied Sciences
|
| 3731 |
Machine Learning for Scent (M-I-T)
|
Deep Learning (2020) (M-I-T)
|
MIT
|
Alex Wiltschko
|
Applied Sciences
|
| 3732 |
Lecture 11: Derived Distributions; Convolution; Covariance and Correlation (M-I-T)
|
Probabilistic Systems Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. John Tsitsiklis
|
Applied Sciences
|
| 3733 |
|
Deep Learning (2020) (M-I-T)
|
MIT
|
Chuan Li
|
Applied Sciences
|
| 3734 |
Lecture 12: Iterated Expectations; Sum of a Random Number of Random Variables (M-I-T)
|
Probabilistic Systems Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. John Tsitsiklis
|
Applied Sciences
|
| 3735 |
|
Deep Learning (2020) (M-I-T)
|
MIT
|
David Cox
|
Applied Sciences
|
| 3736 |
Lecture 13: Bernoulli Process (M-I-T)
|
Probabilistic Systems Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. John Tsitsiklis
|
Applied Sciences
|
| 3737 |
Recurrent Neural Networks
|
Deep Learning (2020) (M-I-T)
|
MIT
|
Ava Soleimany
|
Applied Sciences
|
| 3738 |
Lecture 14: Poisson Process I (M-I-T)
|
Probabilistic Systems Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. John Tsitsiklis
|
Applied Sciences
|
| 3739 |
Reinforcement Learning (M-I-T)
|
Deep Learning (2020) (M-I-T)
|
MIT
|
Alexander Amini
|
Applied Sciences
|
| 3740 |
Lecture 15: Poisson Process II (M-I-T)
|
Probabilistic Systems Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. John Tsitsiklis
|
Applied Sciences
|
| 3741 |
Lecture 16: Markov Chains I (M-I-T)
|
Probabilistic Systems Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. John Tsitsiklis
|
Applied Sciences
|
| 3742 |
|
Electricity and Magnetism: Electrostatics
|
MIT
|
Peter Dourmashkin, Krishna Rajagopal, Dr. Kerstin Perez, Dr. Analia Barrantes, Dr. Michelle Tomasik, Prof.Robert Redwine
|
Basic and Health Sciences
|
| 3743 |
Lecture 17: Markov Chains II (M-I-T)
|
Probabilistic Systems Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. John Tsitsiklis
|
Applied Sciences
|
| 3744 |
L02v06: Electric Field Lines
|
Electricity and Magnetism: Electrostatics
|
MIT
|
Peter Dourmashkin, Krishna Rajagopal, Dr. Kerstin Perez, Dr. Analia Barrantes, Dr. Michelle Tomasik, Prof.Robert Redwine
|
Basic and Health Sciences
|
| 3745 |
Lecture 18: Markov Chains III (M-I-T)
|
Probabilistic Systems Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. John Tsitsiklis
|
Applied Sciences
|
| 3746 |
L10v1: Electric Field is the Negative Gradient of Potential
|
Electricity and Magnetism: Electrostatics
|
MIT
|
Peter Dourmashkin, Krishna Rajagopal, Dr. Kerstin Perez, Dr. Analia Barrantes, Dr. Michelle Tomasik, Prof.Robert Redwine
|
Basic and Health Sciences
|
| 3747 |
Lecture 19: Weak Law of Large Numbers (M-I-T)
|
Probabilistic Systems Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. John Tsitsiklis
|
Applied Sciences
|
| 3748 |
L10v2: Calculate Electric Field from the Potential Along the Axis of a Charged Ring
|
Electricity and Magnetism: Electrostatics
|
MIT
|
Peter Dourmashkin, Krishna Rajagopal, Dr. Kerstin Perez, Dr. Analia Barrantes, Dr. Michelle Tomasik, Prof.Robert Redwine
|
Basic and Health Sciences
|
| 3749 |
Lecture 1: Probability Models and Axioms (M-I-T)
|
Probabilistic Systems Analysis and Applied Probability (Fall 2010) (M-I-T)
|
MIT
|
Prof. John Tsitsiklis
|
Applied Sciences
|
| 3750 |
L10v3: Calculate the Electric Field from the Potential of Three Point Charges
|
Electricity and Magnetism: Electrostatics
|
MIT
|
Peter Dourmashkin, Krishna Rajagopal, Dr. Kerstin Perez, Dr. Analia Barrantes, Dr. Michelle Tomasik, Prof.Robert Redwine
|
Basic and Health Sciences
|
