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Learning Machines 101 - deep links to episodes

These are magic links to individual episodes for Learning Machines 101, provided to help you share episode links for this podcast that work on any device.

These links work on everything - they open the episode on Apple Podcasts on an iOS device like an iPhone; will open the episode on the Google Podcasts player on an Android device; and will open a web player on any other device. We’re currently linking to Google Podcasts on the web, since it displays episode notes in full. Right-click a link to copy the link address.

Just want to link to the podcast? Use this magic link: Listen to Learning Machines 101

Apr 9 2020:LM101-081: Ch3: How to Define Machine Learning (or at Least Try) (link not available)
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Feb 29 2020:LM101-080: Ch2: How to Represent Knowledge using Set Theory (link not available)
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Dec 24 2019:LM101-079: Ch1: How to View Learning as Risk Minimization (link not available)
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Oct 24 2019:LM101-078: Ch0: How to Become a Machine Learning Expert (link not available)
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May 2 2019:LM101-077: How to Choose the Best Model using BIC (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Jan 23 2019:LM101-076: How to Choose the Best Model using AIC and GAIC (link not available)
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Dec 12 2018:LM101-075: Can computers think? A Mathematician's Response (remix) (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Jun 30 2018:LM101-074: How to Represent Knowledge using Logical Rules (remix) (link not available)
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Apr 25 2018:LM101-073: How to Build a Machine that Learns to Play Checkers (remix) (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Mar 31 2018:LM101-072: Welcome to the Big Artificial Intelligence Magic Show! (Remix of LM101-001 and LM101-002) (link not available)
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Feb 23 2018:LM101-071: How to Model Common Sense Knowledge using First-Order Logic and Markov Logic Nets (link not available)
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Jan 31 2018:LM101-070: How to Identify Facial Emotion Expressions in Images Using Stochastic Neighborhood Embedding (link not available)
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Dec 16 2017:LM101-069: What Happened at the 2017 Neural Information Processing Systems Conference? (link not available)
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Sep 26 2017:LM101-068: How to Design Automatic Learning Rate Selection for Gradient Descent Type Machine Learning Algorithms (link not available)
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Aug 21 2017:LM101-067: How to use Expectation Maximization to Learn Constraint Satisfaction Solutions (Rerun) (link not available)
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Jul 17 2017:LM101-066: How to Solve Constraint Satisfaction Problems using MCMC Methods (Rerun) (link not available)
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Jun 19 2017:LM101-065: How to Design Gradient Descent Learning Machines (Rerun) (link not available)
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May 15 2017:LM101-064: Stochastic Model Search and Selection with Genetic Algorithms (Rerun) (link not available)
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Apr 20 2017:LM101-063: How to Transform a Supervised Learning Machine into a Policy Gradient Reinforcement Learning Machine (link not available)
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Mar 19 2017:LM101-062: How to Transform a Supervised Learning Machine into a Value Function Reinforcement Learning Machine (link not available)
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Feb 23 2017:LM101-061: What happened at the Reinforcement Learning Tutorial? (RERUN) (link not available)
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Jan 23 2017:LM101-060: How to Monitor Machine Learning Algorithms using Anomaly Detection Machine Learning Algorithms (link not available)
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Dec 21 2016:LM101-059: How to Properly Introduce a Neural Network (link not available)
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Nov 23 2016:LM101-058: How to Identify Hallucinating Learning Machines using Specification Analysis (link not available)
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Oct 18 2016:LM101-057: How to Catch Spammers using Spectral Clustering (link not available)
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Sep 20 2016:LM101-056: How to Build Generative Latent Probabilistic Topic Models for Search Engine and Recommender System Applications (link not available)
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Aug 16 2016:LM101-055: How to Learn Statistical Regularities using MAP and Maximum Likelihood Estimation (Rerun) (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Jul 25 2016:LM101-054: How to Build Search Engine and Recommender Systems using Latent Semantic Analysis (RERUN) (link not available)
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Jul 11 2016:LM101-053: How to Enhance Learning Machines with Swarm Intelligence (Particle Swarm Optimization) (link not available)
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Jun 13 2016:LM101-052: How to Use the Kernel Trick to Make Hidden Units Disappear (link not available)
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May 24 2016:LM101-051: How to Use Radial Basis Function Perceptron Software for Supervised Learning[Rerun] (link not available)
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May 4 2016:LM101-050: How to Use Linear Machine Learning Software to Make Predictions (Linear Regression Software)[RERUN] (link not available)
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Apr 22 2016:LM101-049: How to Experiment with Lunar Lander Software (link not available)
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Mar 29 2016:LM101-048: How to Build a Lunar Lander Autopilot Learning Machine (Rerun) (link not available)
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Mar 14 2016:LM101-047: How Build a Support Vector Machine to Classify Patterns (Rerun) (link not available)
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Feb 23 2016:LM101-046: How to Optimize Student Learning using Recurrent Neural Networks (Educational Technology) (link not available)
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Feb 8 2016:LM101-045: How to Build a Deep Learning Machine for Answering Questions about Images (link not available)
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Jan 26 2016:LM101-044: What happened at the Deep Reinforcement Learning Tutorial at the 2015 Neural Information Processing Systems Conference? (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Jan 12 2016:LM101-043: How to Learn a Monte Carlo Markov Chain to Solve Constraint Satisfaction Problems (Rerun of Episode 22) (link not available)
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Dec 29 2015:LM101-042: What happened at the Monte Carlo Markov Chain (MCMC) Inference Methods Tutorial at the 2015 Neural Information Processing Systems Conference? (link not available)
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Dec 16 2015:LM101-041: What happened at the 2015 Neural Information Processing Systems Deep Learning Tutorial? (link not available)
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Nov 24 2015:LM101-040: How to Build a Search Engine, Automatically Grade Essays, and Identify Synonyms using Latent Semantic Analysis (link not available)
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Nov 9 2015:LM101-039: How to Solve Large Complex Constraint Satisfaction Problems (Monte Carlo Markov Chain and Markov Fields)[Rerun] (link not available)
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Oct 27 2015:LM101-038: How to Model Knowledge Skill Growth Over Time using Bayesian Nets (link not available)
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Oct 12 2015:LM101-037: How to Build a Smart Computerized Adaptive Testing Machine using Item Response Theory (link not available)
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Sep 28 2015:LM101-036: How to Predict the Future from the Distant Past using Recurrent Neural Networks (link not available)
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Sep 15 2015:LM101-035: What is a Neural Network and What is a Hot Dog? (link not available)
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Aug 25 2015:LM101-034: How to Use Nonlinear Machine Learning Software to Make Predictions (Feedforward Perceptrons with Radial Basis Functions)[Rerun] (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Aug 10 2015:LM101-033: How to Use Linear Machine Learning Software to Make Predictions (Linear Regression Software)[RERUN] (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Jul 13 2015:LM101-032: How To Build a Support Vector Machine to Classify Patterns (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Jun 21 2015:LM101-031: How to Analyze and Design Learning Rules using Gradient Descent Methods (RERUN) (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Jun 8 2015:LM101-030: How to Improve Deep Learning Performance with Artificial Brain Damage (Dropout and Model Averaging) (link not available)
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May 25 2015:LM101-029: How to Modernize Deep Learning with Rectilinear units, Convolutional Nets, and Max-Pooling (link not available)
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May 11 2015:LM101-028: How to Evaluate the Ability to Generalize from Experience (Cross-Validation Methods)[RERUN] (link not available)
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Apr 28 2015:LM101-027: How to Learn About Rare and Unseen Events (Smoothing Probabilistic Laws)[RERUN] (link not available)
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Apr 14 2015:LM101-026: How to Learn Statistical Regularities (Rerun) (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Mar 24 2015:LM101-025: How to Build a Lunar Lander Autopilot Learning Machine (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Mar 10 2015:LM101-024: How to Use Genetic Algorithms to Breed Learning Machines (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Feb 24 2015:LM101-023: How to Build a Deep Learning Machine (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Feb 10 2015:LM101-022: How to Learn to Solve Large Constraint Satisfaction Problems (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Jan 26 2015:LM101-021: How to Solve Large Complex Constraint Satisfaction Problems (Monte Carlo Markov Chain) (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Jan 12 2015:LM101-020: How to Use Nonlinear Machine Learning Software to Make Predictions (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Dec 22 2014:LM101-019 (Rerun): How to Enhance Intelligence with a Robotic Body (Embodied Cognition) (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Dec 12 2014:LM101-018: Can Computers Think? A Mathematician's Response (Rerun) (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Nov 24 2014:LM101-017: How to Decide if a Machine is Artificially Intelligent (Rerun) (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Nov 11 2014:LM101-016: How to Analyze and Design Learning Rules using Gradient Descent Methods (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Oct 27 2014:LM101-015: How to Build a Machine that Can Learn Anything (The Perceptron) (link not available)
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Oct 13 2014:LM101-014: How to Build a Machine that Can Do Anything (Function Approximation) (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Sep 22 2014:LM101-013: How to Use Linear Machine Learning Software to Make Predictions (Linear Regression Software) (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Sep 9 2014:LM101-012: How to Evaluate the Ability to Generalize from Experience (Cross-Validation Methods) (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Sep 3 2014:LM101-008: How to Represent Beliefs Using Probability Theory (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Aug 26 2014:LM101-011: How to Learn About Rare and Unseen Events (Smoothing Probabilistic Laws) (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Aug 12 2014:LM101-010: How to Learn Statistical Regularities (MAP and maximum likelihood estimation) (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Jul 28 2014:LM101-009: How to Enhance Intelligence with a Robotic Body (Embodied Cognition) (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Jun 23 2014:LM101-007: How to Reason About Uncertain Events using Fuzzy Set Theory and Fuzzy Measure Theory (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Jun 9 2014:LM101-006: How to Interpret Turing Test Results (link not available)
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May 27 2014:LM101-005: How to Decide if a Machine is Artificially Intelligent (The Turing Test) (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
May 12 2014:LM101-004: Can computers think? A mathematician.s response (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Apr 29 2014:LM101-003: How to Represent Knowledge using Logical Rules (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file
Apr 29 2014:LM101-002: How to Build a Machine that Learns to Play Checkers (link not available)
Apple Podcasts (not available) | Google Podcasts | Audio file

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