Formal & Physical Sciences AI — Models & ResearchENImplementing Data Processing PipelinesMachine Learning PracticeAugust 12, 2022 20 min★ ★ ★ ★ ☆ 4/5Scikit-LearnPipelineData Preprocessing
Formal & Physical Sciences AI — Models & ResearchENExample: Using Cross ValidationMachine Learning PracticeAugust 12, 2022 15 min★ ★ ★ ★ ☆ 4/5Cross-ValidationScikit-LearnMachine Learning
Formal & Physical Sciences AI — Models & ResearchENExample: Multi Class ClassificationMachine Learning PracticeAugust 12, 2022 29 min★ ★ ★ ★ ☆ 4/5Multi-Class ClassificationScikit-LearnSGDClassifier
Formal & Physical Sciences AI — Models & ResearchENDrift Detection and ML Solution Retraining (4/4)Samuel AckermanJuly 26, 2022 25 min★ ★ ★ ★ ☆ 4/5Drift DetectionMachine LearningJensen-Shannon Distance
Formal & Physical Sciences AI — Models & ResearchENDrift Detection and ML Solution Retraining (3/4)Samuel AckermanJuly 13, 2022 25 min★ ★ ★ ☆ ☆ 3/5Drift DetectionMachine LearningStatistical Tests
Formal & Physical Sciences AI — Models & ResearchENDrift detection and ML Solution retraining part (2/4)Samuel AckermanJune 27, 2022 32 min★ ★ ★ ★ ☆ 4/5Drift DetectionMachine LearningStatistical Tests
Formal & Physical Sciences AI — Models & ResearchENDrift detection and ML Solution retraining part (1/4)Samuel AckermanJune 27, 2022 28 min★ ★ ★ ★ ☆ 4/5Drift DetectionMachine LearningStatistical Tests
Formal & Physical Sciences AI — Models & ResearchENBayesian network revisitedMachine Learning ConceptsMay 17, 2022 78 min★ ★ ★ ☆ ☆ 3/5Bayesian NetworksCausal InferenceIndependence
Formal & Physical Sciences AI — Models & ResearchENDetecting model drift using polynomial relationsIran Rafael (IBM Research)April 7, 2022 20 min★ ★ ★ ★ ☆ 4/5Model DriftPolynomial RegressionBayes Factor
Formal & Physical Sciences AI — Models & ResearchENDetecting Concept Drift in the Presence of Sparsity A Case Study of Automated Change RiskAnirban Chatterjee, Shubhadeep, Kunal (Walmart Global Tech)April 7, 2022 26 min★ ★ ★ ★ ☆ 4/5Concept DriftData SparsityImputation
Formal & Physical Sciences AI — Models & ResearchENData dependent priors for domain adaptation boundsMachine Learning ConceptsApril 7, 2022 19 min★ ★ ★ ★ ☆ 4/5Domain AdaptationPAC-BayesGeneralization Bounds
Formal & Physical Sciences AI — Models & ResearchENA Unified Perspective on Adversarial and Out of Distribution Detection in the Open WorldEddie (Machine Learning Concepts)April 7, 2022 22 min★ ★ ★ ★ ☆ 4/5Adversarial AttacksOut-of-Distribution DetectionData Augmentation
Applied Sciences & Engineering AI — Models & ResearchENLecture 14: MIT 6.832 Underactuated Robotics (Spring 2022) | "Direct Policy Search"underactuatedMarch 30, 2022 88 min★ ★ ★ ★ ☆ 4/5Direct Policy SearchReinforcement LearningRobotics
Formal & Physical Sciences AI — Models & ResearchENLecture 6: MIT 6.832 Underactuated Robotics (Spring 2022) | "Dynamic Programming III"Russ TedrakeFebruary 18, 2022 78 min★ ★ ★ ★ ☆ 4/5Reinforcement LearningValue IterationFunction Approximation
Formal & Physical Sciences AI — Models & ResearchENFourier, Decision Trees, Learning Algorithms || @ CMU || Recitation 5 of CS Theory ToolkitRyan O'DonnellFebruary 16, 2022 67 min★ ★ ★ ★ ☆ 4/5Fourier AnalysisDecision TreesLearning Algorithms
Formal & Physical Sciences AI — Models & ResearchENHow can ERM be fooled?Dr. Eitan Farchi (IBM)January 20, 2022 21 min★ ★ ★ ★ ☆ 4/5Empirical Risk MinimizationMachine LearningProbability Theory
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 & ResearchENQiskit Fall Fest CIC-IPN Mexico 2021 - Introducción al Aprendizaje de Máquina CuánticoAlberto Maldonado RomoOctober 21, 2021 86 min★ ★ ★ ☆ ☆ 3/5Quantum ComputingMachine LearningQiskit
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 & 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 & 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 & ResearchENBayesian Networks independence IMachine Learning ConceptsApril 20, 2021 10 min★ ★ ★ ★ ☆ 4/5Bayesian NetworksConditional IndependenceProbability Theory
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 & ResearchEN[Extract] The UK's Quantum Computer webinar ::: Alexei Kondratyev - Quantum Machine LearningAlexei KondratyevMarch 21, 2021 28 min★ ★ ★ ★ ☆ 4/5Quantum ComputingMachine LearningQuantum Neural Networks
Formal & Physical Sciences AI — Models & ResearchENVC dimension as an adversary to learningDr. Eitan Farchi (IBM)March 8, 2021 54 min★ ★ ★ ☆ ☆ 3/5VC DimensionLearning TheoryAdversarial
Formal & Physical Sciences AI — Models & ResearchENSupport Vector Machine | Face DetectionShree NayarMarch 3, 2021 14 min★ ★ ★ ★ ☆ 4/5Support Vector MachineFace DetectionComputer Vision
Formal & Physical Sciences AI — Models & ResearchENVC dimension IDr. Eitan Farchi (IBM)February 23, 2021 14 min★ ★ ★ ★ ☆ 4/5VC DimensionMachine LearningShattering
Formal & Physical Sciences AI — Models & ResearchENexplaining PACDr. Eitan FarchiFebruary 9, 2021 21 min★ ★ ★ ★ ☆ 4/5PAC LearningMachine LearningProbably Approximately Correct
Formal & Physical Sciences AI — Models & ResearchENA simple example of PAC learningDr. Eitan Farchi (IBM R&D)February 2, 2021 23 min★ ★ ★ ★ ☆ 4/5PAC LearningMachine LearningProbably Approximately Correct
Formal & Physical Sciences AI — Models & ResearchENLecture 18 | MIT 6.881 (Robotic Manipulation), Fall 2020 | Reinforcement Learning (Part 2)Russ TedrakeNovember 13, 2020 98 min★ ★ ★ ★ ★ 5/5Reinforcement LearningPolicy GradientRobotic Manipulation
Formal & Physical Sciences AI — Models & ResearchENLecture 17 | MIT 6.881 (Robotic Manipulation), Fall 2020 | Reinforcement Learning (Part 1)Russ TedrakeNovember 11, 2020 86 min★ ★ ★ ★ ★ 5/5Reinforcement LearningRobotic ManipulationPolicy Learning
Formal & Physical Sciences AI — Models & ResearchENCurse of dimensionalityDr. Eitan FarchiOctober 26, 2020 13 min★ ★ ★ ★ ☆ 4/5Curse of DimensionalityMonte Carlo SimulationHigh-Dimensional Geometry
Formal & Physical Sciences AI — Models & ResearchENComment CHOISIR LE BON MODÈLE de Machine Learning ?Guillaume Saint-CirgueSeptember 2, 2020 21 min★ ★ ★ ★ ☆ 4/5Machine LearningModel SelectionScikit-Learn
Formal & Physical Sciences AI — Models & ResearchENQSI Seminar: Dr Markus Heyl, Max Planck Inst., Reinforcement Learning for Digital Quantum SimulationDr Markus HeylJuly 24, 2020 58 min★ ★ ★ ★ ☆ 4/5Quantum SimulationReinforcement LearningQuantum Circuits