Humanities, Social Sciences & Thought AI — Models & ResearchENTechnological TelepathyIsaac ArthurJanuary 16, 2022 26 min★ ★ ★ ★ ☆ 4/5TelepathyBrain-Computer InterfaceNeuroscience
Formal & Physical Sciences AI — Models & ResearchENLecture 20: MIT 6.800/6.843 Robotics Manipulation (Fall 2021) | "Reinforcement Learning (Part 3)"Russ TedrakeNovember 24, 2021 83 min★ ★ ★ ★ ★ 5/5Reinforcement LearningRoboticsPolicy Gradient
Applied Sciences & Engineering AI — Models & ResearchENLecture 19: MIT 6.800/6.843 Robotics Manipulation (Fall 2021) | "How to Train your Robot"Abhishek GuptaNovember 19, 2021 83 min★ ★ ★ ★ ☆ 4/5Reinforcement LearningRoboticsReal-World
Formal & Physical Sciences AI — Models & ResearchENLecture 18: MIT 6.800/6.843 Robotics Manipulation (Fall 2021) | "Reinforcement Learning (Part 1)"Russ TedrakeNovember 17, 2021 82 min★ ★ ★ ★ ☆ 4/5Reinforcement LearningRoboticsManipulation
Formal & Physical Sciences AI — Models & ResearchENUsing linear regression to estimate non-linear problems (with code!)Guy Barash (WDC), hosted by Dr. Eitan Farchi (IBM)November 10, 2021 26 min★ ★ ★ ★ ☆ 4/5Linear RegressionFeature EngineeringPolynomial Regression
Applied Sciences & Engineering AI — Models & ResearchENLecture 17: MIT 6.800/6.843 Robotics Manipulation (Fall 2021) | "Behavior Cloning"Russ TedrakeNovember 10, 2021 80 min★ ★ ★ ★ ☆ 4/5RoboticsManipulationBehavior Cloning
Formal & Physical Sciences AI — Models & ResearchENNEURONE ARTIFICIEL - CHAT VS CHIEN - DEEP LEARNING 6Guillaume Saint-CirgueNovember 6, 2021 58 min★ ★ ★ ★ ★ 5/5Deep LearningNeural NetworksData Normalization
Formal & Physical Sciences AI — Models & ResearchENQiskit Fall Fest CIC-IPN Mexico 2021 - Introducción al Aprendizaje de Máquina CuánticoAlberto Maldonado RomoOctober 21, 2021 86 min★ ★ ★ ☆ ☆ 3/5Quantum ComputingMachine LearningQiskit
Formal & Physical Sciences AI — Models & ResearchENPROGRAMMATION d'un NEURONE ARTIFICIEL (DEEP LEARNING 5)Guillaume Saint-CirgueOctober 20, 2021 38 min★ ★ ★ ★ ★ 5/5Deep LearningNeural NetworksPython
Applied Sciences & Engineering AI — Models & ResearchENLecture 11: MIT 6.800/6.843 Robotics Manipulation (Fall 2021) | "Deep Perception (for manipulation)"Russ TedrakeOctober 20, 2021 78 min★ ★ ★ ★ ☆ 4/5Deep LearningRoboticsPerception
Formal & Physical Sciences AI — Models & ResearchENLa VECTORISATION des équations - DEEP LEARNING (04)Guillaume Saint-CirgueOctober 3, 2021 20 min★ ★ ★ ★ ☆ 4/5VectorizationDeep LearningMatrix Calculus
Applied Sciences & Engineering AI — Models & ResearchENLecture 6: MIT 6.800/6.843 Robotics Manipulation (Fall 2021) | "Geometric Perception (Part 2)"Russ TedrakeOctober 1, 2021 74 min★ ★ ★ ★ ★ 5/5RoboticsPerceptionICP
Applied Sciences & Engineering AI — Models & ResearchENLecture 5: MIT 6.800/6.843 Robotics Manipulation (Fall 2021) | "Geometric Perception (Part 1)"Russ TedrakeSeptember 29, 2021 80 min★ ★ ★ ★ ☆ 4/5RoboticsPerceptionDepth Sensing
Applied Sciences & Engineering AI — Models & ResearchENCette IA écrit du contenu à votre place en quelques secondes | Copy.aiShubham SHARMASeptember 20, 2021 11 min★ ★ ★ ☆ ☆ 3/5Copy.aiAI WritingContent Creation
Applied Sciences & Engineering AI — Models & ResearchENMachine Learning Practice: CoLab InterfaceMachine Learning PracticeAugust 25, 2021 13 min★ ★ ★ ☆ ☆ 3/5Google ColabJupyter NotebookPython
Formal & Physical Sciences AI — Models & ResearchENreading conditional independence from the BNDr. Eitan FarchiJune 17, 2021 16 min★ ★ ★ ★ ☆ 4/5Bayesian NetworksConditional IndependenceProbability
Formal & Physical Sciences AI — Models & ResearchENLES GRADIENTS D'UN NEURONE - DEEP LEARNING (03)Guillaume Saint-CirgueJune 13, 2021 33 min★ ★ ★ ★ ★ 5/5Deep LearningGradient DescentBackpropagation
Formal & Physical Sciences AI — Models & ResearchENNeural Network | Neural NetworksShree NayarJune 10, 2021 11 min★ ★ ★ ★ ☆ 4/5Neural NetworksDeep LearningMNIST
Formal & Physical Sciences AI — Models & ResearchENGradient Descent | Neural NetworksShree NayarJune 10, 2021 15 min★ ★ ★ ★ ★ 5/5Gradient DescentNeural NetworksOptimization
Formal & Physical Sciences AI — Models & ResearchENBackpropagation Algorithm | Neural NetworksShree NayarJune 10, 2021 13 min★ ★ ★ ★ ☆ 4/5BackpropagationNeural NetworksGradient Descent
Formal & Physical Sciences AI — Models & ResearchENLE PERCEPTRON - DEEP LEARNING (02)Guillaume Saint-CirgueJune 6, 2021 24 min★ ★ ★ ★ ★ 5/5PerceptronDeep LearningSigmoid
Formal & Physical Sciences AI — Models & ResearchENPrincipal Component Analysis | Appearance MatchingShree NayarJune 3, 2021 16 min★ ★ ★ ★ ★ 5/5Principal Component AnalysisDimensionality ReductionComputer Vision
Formal & Physical Sciences AI — Models & ResearchENParametric Appearance Representation | Appearance MatchingShree NayarJune 3, 2021 11 min★ ★ ★ ★ ☆ 4/5Computer VisionPCAAppearance Representation
Formal & Physical Sciences AI — Models & ResearchENAppearance MatchingShree NayarJune 3, 2021 13 min★ ★ ★ ★ ★ 5/5Computer VisionAppearance MatchingEigenspace
Formal & Physical Sciences AI — Models & ResearchENSequential identification of agent reliability and the Bayes factorMachine Learning ConceptsJune 1, 2021 27 min★ ★ ★ ★ ☆ 4/5Bayesian InferenceConjugate PriorsBayes Factor
Formal & Physical Sciences AI — Models & ResearchENTracking by Feature Detection | Object TrackingShree NayarMay 16, 2021 11 min★ ★ ★ ★ ☆ 4/5Computer VisionObject TrackingSIFT
Formal & Physical Sciences AI — Models & ResearchENGaussian Mixture Model | Object TrackingShree NayarMay 16, 2021 15 min★ ★ ★ ★ ☆ 4/5Gaussian Mixture ModelObject TrackingBackground Subtraction
Formal & Physical Sciences AI — Models & ResearchENChange Detection | Object TrackingShree NayarMay 16, 2021 10 min★ ★ ★ ★ ☆ 4/5Change DetectionBackground SubtractionComputer Vision
Applied Sciences & Engineering AI — Models & ResearchENLecture 22 (From linear models to deep models) | MIT 6.832 (Underactuated Robotics), Spring 2021MIT OpenCourseWareMay 14, 2021 83 min★ ★ ★ ★ ★ 5/5System IdentificationNeural NetworksRobotics
Formal & Physical Sciences AI — Models & ResearchENTomasi-Kanade Factorization | Structure from MotionShree NayarMay 9, 2021 20 min★ ★ ★ ★ ★ 5/5Structure From MotionTomasi-KanadeSingular Value Decomposition
Formal & Physical Sciences AI — Models & ResearchENObservation Matrix | Structure from MotionShree NayarMay 9, 2021 14 min★ ★ ★ ★ ★ 5/5Structure From MotionObservation MatrixOrthographic Projection
Formal & Physical Sciences AI — Models & ResearchENOptical Flow Constraint Equation | Optical FlowShree NayarMay 2, 2021 15 min★ ★ ★ ★ ★ 5/5Optical FlowComputer VisionConstraint Equation
Formal & Physical Sciences AI — Models & ResearchENStereo Vision in Nature | Uncalibrated StereoShree NayarApril 25, 2021 14 min★ ★ ★ ★ ☆ 4/5Stereo VisionComputer VisionDepth Perception
Formal & Physical Sciences AI — Models & ResearchENFORMATION DEEP LEARNING COMPLETE (2021)Guillaume Saint-CirgueApril 25, 2021 30 min★ ★ ★ ★ ★ 5/5Deep LearningNeural NetworksMachine Learning
Formal & Physical Sciences AI — Models & ResearchENEpipolar Geometry | Uncalibrated StereoShree NayarApril 25, 2021 14 min★ ★ ★ ★ ★ 5/5Epipolar GeometryComputer VisionStereo Vision
Formal & Physical Sciences AI — Models & ResearchENBayesian Networks independence IMachine Learning ConceptsApril 20, 2021 10 min★ ★ ★ ★ ☆ 4/5Bayesian NetworksConditional IndependenceProbability Theory
Formal & Physical Sciences AI — Models & ResearchENSimple Stereo | Camera CalibrationShree NayarApril 18, 2021 16 min★ ★ ★ ★ ★ 5/5Stereo VisionCamera CalibrationDepth Estimation
Formal & Physical Sciences AI — Models & ResearchENLinear Camera Model | Camera CalibrationShree NayarApril 18, 2021 19 min★ ★ ★ ★ ★ 5/5Camera CalibrationComputer VisionIntrinsic Matrix
Applied Sciences & Engineering AI — Models & ResearchENMachine Learnia, La suite commence ici.Guillaume Saint-CirgueApril 17, 2021 12 min★ ★ ★ ☆ ☆ 3/5Machine LearningDeep LearningData Science
Formal & Physical Sciences AI — Models & ResearchENTime of Flight Method | Active Illumination MethodsShree NayarApril 11, 2021 18 min★ ★ ★ ★ ★ 5/5Time-of-FlightDepth SensingComputer Vision