TitleDate
LM101-065: How to Design Gradient Descent Learning Machines (Rerun)Jun 19, 2017 Listen
LM101-064: Stochastic Model Search and Selection with Genetic Algorithms (Rerun)May 15, 2017 Listen
LM101-063: How to Transform a Supervised Learning Machine into a Policy Gradient Reinforcement Learning MachineApr 20, 2017 Listen
LM101-062: How to Transform a Supervised Learning Machine into a Value Function Reinforcement Learning MachineMar 19, 2017 Listen
LM101-061: What happened at the Reinforcement Learning Tutorial? (RERUN)Feb 23, 2017 Listen
LM101-060: How to Monitor Machine Learning Algorithms using Anomaly Detection Machine Learning AlgorithmsJan 23, 2017 Listen
LM101-059: How to Properly Introduce a Neural NetworkDec 21, 2016 Listen
LM101-058: How to Identify Hallucinating Learning Machines using Specification AnalysisNov 23, 2016 Listen
LM101-057: How to Catch Spammers using Spectral ClusteringOct 18, 2016 Listen
LM101-056: How to Build Generative Latent Probabilistic Topic Models for Search Engine and Recommender System ApplicationsSep 20, 2016 Listen
LM101-055: How to Learn Statistical Regularities using MAP and Maximum Likelihood Estimation (Rerun)Aug 16, 2016 Listen
LM101-054: How to Build Search Engine and Recommender Systems using Latent Semantic Analysis (RERUN)Jul 25, 2016 Listen
LM101-053: How to Enhance Learning Machines with Swarm Intelligence (Particle Swarm Optimization)Jul 11, 2016 Listen
LM101-052: How to Use the Kernel Trick to Make Hidden Units DisappearJun 13, 2016 Listen
LM101-051: How to Use Radial Basis Function Perceptron Software for Supervised Learning[Rerun]May 24, 2016 Listen
LM101-050: How to Use Linear Machine Learning Software to Make Predictions (Linear Regression Software)[RERUN]May 04, 2016 Listen
LM101-049: How to Experiment with Lunar Lander SoftwareApr 22, 2016 Listen
LM101-048: How to Build a Lunar Lander Autopilot Learning Machine (Rerun)Mar 29, 2016 Listen
LM101-047: How Build a Support Vector Machine to Classify Patterns (Rerun)Mar 14, 2016 Listen
LM101-046: How to Optimize Student Learning using Recurrent Neural Networks (Educational Technology)Feb 23, 2016 Listen
LM101-045: How to Build a Deep Learning Machine for Answering Questions about ImagesFeb 08, 2016 Listen
LM101-044: What happened at the Deep Reinforcement Learning Tutorial at the 2015 Neural Information Processing Systems Conference?Jan 26, 2016 Listen
LM101-043: How to Learn a Monte Carlo Markov Chain to Solve Constraint Satisfaction Problems (Rerun of Episode 22)Jan 12, 2016 Listen
LM101-042: What happened at the Monte Carlo Markov Chain (MCMC) Inference Methods Tutorial at the 2015 Neural Information Processing Systems Conference?Dec 29, 2015 Listen
LM101-041: What happened at the 2015 Neural Information Processing Systems Deep Learning Tutorial?Dec 16, 2015 Listen
LM101-040: How to Build a Search Engine, Automatically Grade Essays, and Identify Synonyms using Latent Semantic AnalysisNov 24, 2015 Listen
LM101-039: How to Solve Large Complex Constraint Satisfaction Problems (Monte Carlo Markov Chain and Markov Fields)[Rerun]Nov 09, 2015 Listen
LM101-038: How to Model Knowledge Skill Growth Over Time using Bayesian NetsOct 27, 2015 Listen
LM101-037: How to Build a Smart Computerized Adaptive Testing Machine using Item Response TheoryOct 12, 2015 Listen
LM101-036: How to Predict the Future from the Distant Past using Recurrent Neural NetworksSep 28, 2015 Listen
LM101-035: What is a Neural Network and What is a Hot Dog?Sep 15, 2015 Listen
LM101-034: How to Use Nonlinear Machine Learning Software to Make Predictions (Feedforward Perceptrons with Radial Basis Functions)[Rerun]Aug 25, 2015 Listen
LM101-033: How to Use Linear Machine Learning Software to Make Predictions (Linear Regression Software)[RERUN]Aug 10, 2015 Listen
LM101-032: How To Build a Support Vector Machine to Classify PatternsJul 13, 2015 Listen
LM101-031: How to Analyze and Design Learning Rules using Gradient Descent Methods (RERUN)Jun 21, 2015 Listen
LM101-030: How to Improve Deep Learning Performance with Artificial Brain Damage (Dropout and Model Averaging)Jun 08, 2015 Listen
LM101-029: How to Modernize Deep Learning with Rectilinear units, Convolutional Nets, and Max-PoolingMay 25, 2015 Listen
LM101-028: How to Evaluate the Ability to Generalize from Experience (Cross-Validation Methods)[RERUN]May 11, 2015 Listen
LM101-027: How to Learn About Rare and Unseen Events (Smoothing Probabilistic Laws)[RERUN]Apr 28, 2015 Listen
LM101-026: How to Learn Statistical Regularities (Rerun)Apr 14, 2015 Listen
LM101-025: How to Build a Lunar Lander Autopilot Learning MachineMar 24, 2015 Listen
LM101-024: How to Use Genetic Algorithms to Breed Learning Machines Mar 10, 2015 Listen
LM101-023: How to Build a Deep Learning MachineFeb 24, 2015 Listen
LM101-022: How to Learn to Solve Large Constraint Satisfaction Problems Feb 10, 2015 Listen
LM101-021: How to Solve Large Complex Constraint Satisfaction Problems (Monte Carlo Markov Chain)Jan 26, 2015 Listen
LM101-020: How to Use Nonlinear Machine Learning Software to Make PredictionsJan 12, 2015 Listen
LM101-019 (Rerun): How to Enhance Intelligence with a Robotic Body (Embodied Cognition)Dec 22, 2014 Listen
LM101-018: Can Computers Think? A Mathematician's Response (Rerun)Dec 12, 2014 Listen
LM101-017: How to Decide if a Machine is Artificially Intelligent (Rerun)Nov 24, 2014 Listen
LM101-016: How to Analyze and Design Learning Rules using Gradient Descent MethodsNov 11, 2014 Listen
LM101-015: How to Build a Machine that Can Learn Anything (The Perceptron)Oct 27, 2014 Listen
LM101-014: How to Build a Machine that Can Do Anything (Function Approximation)Oct 13, 2014 Listen
LM101-013: How to Use Linear Machine Learning Software to Make Predictions (Linear Regression Software)Sep 22, 2014 Listen
LM101-012: How to Evaluate the Ability to Generalize from Experience (Cross-Validation Methods)Sep 09, 2014 Listen
LM101-008: How to Represent Beliefs Using Probability TheorySep 03, 2014 Listen
LM101-011: How to Learn About Rare and Unseen Events (Smoothing Probabilistic Laws)Aug 26, 2014 Listen
LM101-010: How to Learn Statistical Regularities (MAP and maximum likelihood estimation)Aug 12, 2014 Listen
LM101-009: How to Enhance Intelligence with a Robotic Body (Embodied Cognition)Jul 28, 2014 Listen
LM101-007: How to Reason About Uncertain Events using Fuzzy Set Theory and Fuzzy Measure TheoryJun 23, 2014 Listen
LM101-006: How to Interpret Turing Test ResultsJun 09, 2014 Listen
LM101-005: How to Decide if a Machine is Artificially Intelligent (The Turing Test)May 27, 2014 Listen
LM101-004: Can computers think? A mathematician.s responseMay 12, 2014 Listen
LM101-003: How to Represent Knowledge using Logical RulesApr 29, 2014 Listen
LM101-002: How to Build a Machine that Learns to Play CheckersApr 29, 2014 Listen