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    LM101-054: How to Build Search Engine and Recommender Systems using Latent Semantic Analysis (RERUN)

    LM101-054: How to Build Search Engine and Recommender Systems using Latent Semantic Analysis (RERUN)

    FromLearning Machines 101

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    LM101-054: How to Build Search Engine and Recommender Systems using Latent Semantic Analysis (RERUN)

    FromLearning Machines 101

    ratings:
    Length:
    30 minutes
    Released:
    Jul 25, 2016
    Format:
    Podcast episode

    Description

    Welcome to the 54th Episode of Learning Machines 101 titled "How to Build a Search Engine, Automatically Grade Essays, and Identify Synonyms using Latent Semantic Analysis" (rerun of Episode 40). The principles in this episode are also applicable to the problem of "Market Basket Analysis"  and the design of Recommender Systems. Check it out at: www.learningmachines101.com and follow us on twitter: @lm101talk
    Released:
    Jul 25, 2016
    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.