Formal & Physical Sciences AI — Models & ResearchENProof of the Random Projection Method (Ora)Machine Learning ConceptsMarch 5, 2024 45 min★ ★ ★ ★ ☆ 4/5Random ProjectionDimensionality ReductionJohnson-Lindenstrauss Lemma
Formal & Physical Sciences AI — Models & ResearchENDimensionality Reduction and the Random Projection Method (Ora)Machine Learning ConceptsFebruary 12, 2024 40 min★ ★ ★ ★ ☆ 4/5Dimensionality ReductionRandom ProjectionJohnson-Lindenstrauss
Formal & Physical Sciences MathematicsENChebyshev inequality (Eitan)EitanDecember 5, 2023 19 min★ ★ ★ ★ ☆ 4/5Chebyshev InequalityConcentration InequalitiesProbability
Formal & Physical Sciences MathematicsENMarkov's Inequality (Eitan)EitanNovember 20, 2023 18 min★ ★ ★ ★ ☆ 4/5Markov's InequalityConcentration InequalitiesProbability Theory
Formal & Physical Sciences AI — Models & ResearchENGradient descent: convergence rate analysis theorem and convexity (Ora)Machine Learning ConceptsNovember 6, 2023 31 min★ ★ ★ ★ ☆ 4/5Gradient DescentConvexityOptimization
Formal & Physical Sciences AI — Models & ResearchENGradient Descent Algorithm (Ora)OraNovember 3, 2023 44 min★ ★ ★ ★ ☆ 4/5Gradient DescentOptimizationMachine Learning
Formal & Physical Sciences AI — Models & ResearchENMinimization using projection (Eitan)EitanOctober 26, 2023 34 min★ ★ ★ ★ ☆ 4/5ProjectionInner ProductPythagorean Theorem
Formal & Physical Sciences AI — Models & ResearchENBagging (Eitan)Machine Learning ConceptsOctober 17, 2023 18 min★ ★ ★ ☆ ☆ 3/5BaggingVariance ReductionEnsemble Learning
Formal & Physical Sciences MathematicsENFixed point theorem of contraction maps (Eitan)EitanOctober 11, 2023 26 min★ ★ ★ ★ ☆ 4/5Banach Fixed-Point TheoremContraction MappingMetric Space
Formal & Physical Sciences AI — Models & ResearchENHotfield update convergeneceMachine Learning ConceptsMarch 23, 2023 11 min★ ★ ☆ ☆ ☆ 2/5Hopfield NetworkConvergenceEnergy Function
Applied Sciences & Engineering AI — Models & ResearchENConstrained Reinforcement Learning for Robotics via Scenario-Based ProgrammingRoss (PhD student, Weizmann Institute)January 11, 2023 56 min★ ★ ★ ★ ☆ 4/5Reinforcement LearningScenario-Based ProgrammingRobotics
Formal & Physical Sciences AI — Models & ResearchENSequential Drift DetectionSamuel AckermanAugust 18, 2022 34 min★ ★ ★ ★ ☆ 4/5Drift DetectionConcept DriftMachine Learning
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 & ResearchENMitigating Adversarial Text PerturbationResica (with co-authors Mohammed Anand and Igor)April 7, 2022 13 min★ ★ ★ ★ ☆ 4/5Adversarial AttacksText PerturbationWord Embeddings
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
Formal & Physical Sciences MathematicsENProperties of expectation and varianceDr. Eitan FarchiFebruary 20, 2022 25 min★ ★ ★ ★ ☆ 4/5ExpectationVarianceProbability
Formal & Physical Sciences MathematicsENUse of Bernoulli variable to empirically estimate a distributionDr. Eitan FarchiFebruary 8, 2022 22 min★ ★ ★ ☆ ☆ 3/5Bernoulli DistributionEmpirical DistributionNon-Parametric Statistics
Formal & Physical Sciences Science — General & HistoryENDecision makingDr. Eitan FarchiFebruary 8, 2022 18 min★ ★ ★ ☆ ☆ 3/5Decision TheoryMachine LearningMinimax
Formal & Physical Sciences MathematicsENEmpirical distributionMachine Learning ConceptsJanuary 30, 2022 20 min★ ★ ★ ☆ ☆ 3/5Empirical DistributionStatisticsProbability
Formal & Physical Sciences Computing & CybersecurityENML testing - random variables empirical distributionDR. Eitan FarchiJanuary 20, 2022 26 min★ ★ ★ ★ ☆ 4/5Machine LearningTestingRandom Variables
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 & 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
Formal & Physical Sciences MathematicsENA general numerical optimization pattern/algorithmDr. Eitan FarchiNovember 10, 2021 20 min★ ★ ★ ★ ☆ 4/5OptimizationNumerical MethodsMachine Learning
Formal & Physical Sciences MathematicsENWhy do we need the Lebesgue integral in probability?Dr. Eitan FarciOctober 26, 2021 41 min★ ★ ★ ★ ☆ 4/5Lebesgue IntegralRiemann IntegralProbability Theory
Formal & Physical Sciences MathematicsENContinuous functions from a compact space to R are boundedDr. Eitan FarchiOctober 18, 2021 37 min★ ★ ★ ☆ ☆ 3/5TopologyCompactnessContinuous Functions
Formal & Physical Sciences MathematicsENThe nucleus of a cooperative game - can it be used the way Shapley was used in ML?Dr. Eitan Farchi (IBM)August 17, 2021 28 min★ ★ ★ ☆ ☆ 3/5Game TheoryNucleusShapley Value
Formal & Physical Sciences MathematicsENContinuous version of Bayes ruleDr. Eitan FarchiJuly 11, 2021 15 min★ ★ ★ ★ ☆ 4/5Bayes RuleContinuous ProbabilityProbability Density
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 & 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
Formal & Physical Sciences MathematicsENThe basic idea of Bayesian NetworkDr. Eitan FarchiApril 16, 2021 20 min★ ★ ★ ★ ☆ 4/5Bayesian NetworksProbabilityMachine Learning
Formal & Physical Sciences MathematicsENScience, Bayes & NLDr Eitan Farchi (IBM)April 6, 2021 18 min★ ★ ★ ☆ ☆ 3/5Bayes' TheoremScientific MethodMachine Learning
Formal & Physical Sciences AI — Models & ResearchENVC dimension as an adversary to learningDr. Eitan Farchi (IBM)March 8, 2021 54 min★ ★ ★ ☆ ☆ 3/5VC DimensionLearning TheoryAdversarial