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

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

    FromLearning Machines 101

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

    FromLearning Machines 101

    ratings:
    Length:
    33 minutes
    Released:
    Oct 13, 2014
    Format:
    Podcast episode

    Description

    In this episode, we discuss the problem of how to build a machine that can do anything! Or more specifically, given a set of input patterns to the machine and a set of desired output patterns for those input patterns we would like to build a machine that can generate the specified output pattern for a given input pattern. This problem may be interpreted as an example of solving a supervised learning problem. Checkout the shownotes at: www.learningmachines101.com for a transcript of this show and free machine learning software!
    Released:
    Oct 13, 2014
    Format:
    Podcast episode

    Titles in the series (85)

    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 which will be addressed in the podcast series Learning Machines 101.