Learning Machines 101

A podcast by Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.

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Technology

85 Episodes

  1. LM101-026: How to Learn Statistical Regularities (Rerun)

    Published: 14/04/2015

  2. LM101-025: How to Build a Lunar Lander Autopilot Learning Machine

    Published: 24/03/2015

  3. LM101-024: How to Use Genetic Algorithms to Breed Learning Machines

    Published: 10/03/2015

  4. LM101-023: How to Build a Deep Learning Machine

    Published: 24/02/2015

  5. LM101-022: How to Learn to Solve Large Constraint Satisfaction Problems

    Published: 10/02/2015

  6. LM101-021: How to Solve Large Complex Constraint Satisfaction Problems (Monte Carlo Markov Chain)

    Published: 26/01/2015

  7. LM101-020: How to Use Nonlinear Machine Learning Software to Make Predictions

    Published: 12/01/2015

  8. LM101-019 (Rerun): How to Enhance Intelligence with a Robotic Body (Embodied Cognition)

    Published: 22/12/2014

  9. LM101-018: Can Computers Think? A Mathematician's Response (Rerun)

    Published: 12/12/2014

  10. LM101-017: How to Decide if a Machine is Artificially Intelligent (Rerun)

    Published: 24/11/2014

  11. LM101-016: How to Analyze and Design Learning Rules using Gradient Descent Methods

    Published: 11/11/2014

  12. LM101-015: How to Build a Machine that Can Learn Anything (The Perceptron)

    Published: 27/10/2014

  13. LM101-014: How to Build a Machine that Can Do Anything (Function Approximation)

    Published: 13/10/2014

  14. LM101-013: How to Use Linear Machine Learning Software to Make Predictions (Linear Regression Software)

    Published: 22/09/2014

  15. LM101-012: How to Evaluate the Ability to Generalize from Experience (Cross-Validation Methods)

    Published: 09/09/2014

  16. LM101-008: How to Represent Beliefs Using Probability Theory

    Published: 03/09/2014

  17. LM101-011: How to Learn About Rare and Unseen Events (Smoothing Probabilistic Laws)

    Published: 26/08/2014

  18. LM101-010: How to Learn Statistical Regularities (MAP and maximum likelihood estimation)

    Published: 12/08/2014

  19. LM101-009: How to Enhance Intelligence with a Robotic Body (Embodied Cognition)

    Published: 28/07/2014

  20. LM101-007: How to Reason About Uncertain Events using Fuzzy Set Theory and Fuzzy Measure Theory

    Published: 23/06/2014

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Smart machines based upon the principles of artificial intelligence and machine learning are now prevalent in our everyday life. For example, artificially intelligent systems recognize our voices, sort our pictures, make purchasing suggestions, and can automatically fly planes and drive cars. In this podcast series, we examine such questions such as: How do these devices work? Where do they come from? And how can we make them even smarter and more human-like? These are the questions that will be addressed in this podcast series!
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