Learning Machines 101

Learning Machines 101

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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!

Recent Episodes

  • LM101-086: Ch8: How to Learn the Probability of Infinitely Many Outcomes

    3 years ago
  • LM101-085:Ch7:How to Guarantee your Batch Learning Algorithm Converges

    3 years ago
  • LM101-084: Ch6: How to Analyze the Behavior of Smart Dynamical Systems

    3 years ago
  • LM101-083: Ch5: How to Use Calculus to Design Learning Machines

    4 years ago
  • LM101-082: Ch4: How to Analyze and Design Linear Machines

    4 years ago
  • LM101-081: Ch3: How to Define Machine Learning (or at Least Try)

    4 years ago
  • LM101-080: Ch2: How to Represent Knowledge using Set Theory

    4 years ago
  • LM101-079: Ch1: How to View Learning as Risk Minimization

    4 years ago
  • LM101-078: Ch0: How to Become a Machine Learning Expert

    5 years ago
  • LM101-077: How to Choose the Best Model using BIC

    5 years ago