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    Four Rare Machine Learning Skills All Data Scientists Need

    BY
    SAS Institute via Coursera

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    Lavel

    Expert

    Mode

    Online

    Duration

    3 Weeks

    Fees

    Free

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based
    Learning efforts 1 Hours Per Week

    Course and certificate fees

    Type of course

    Free

    certificate availability

    Yes

    certificate providing authority

    Coursera

    certificate fees

    ₹2,436

    The syllabus

    Module 1: Four Rare Machine Learning Skills All Data Scientists Need

    Videos
    • Course Overview
    • Uplift modeling I: optimize for influence and persuade by the numbers
    • Uplift modeling II: modeling over treatment and control groups
    • Uplift modeling III: how it works – for banks and for Obama
    • Uplift modeling IV: improving churn modeling, plus other applications
    • Accuracy fallacy: orchestrating the media's bogus coverage of ML
    • More accuracy fallacies: predicting psychosis, criminality, & bestsellers
    • P-hacking: a treacherous pitfall
    • P-hacking: your predictive insights may be bogus
    • P-hacking: how to ensure sound discoveries
    • Ensemble models and the Netflix Prize
    • Supercharging prediction: ensembles & the generalization paradox
    • DEMO - Training an ensemble model (optional)
    • Course conclusions
    Readings
    • The Machine Learning Glossary (optional)
    • Complementary readings on uplift modeling (optional)
    • Complementary reading related to the accuracy fallacy (optional)
    • Complementary materials on p-hacking (optional)
    • The generalization paradox of ensembles (optional) 
    • Further learning options
    Practice Exercises
    • Uplift modeling I: optimize for influence and persuade by the numbers
    • Uplift modeling II: modeling over treatment and control groups
    • Uplift modeling III: how it works – for banks and for Obama
    • Uplift modeling IV: improving churn modeling, plus other applications
    • Accuracy fallacy: orchestrating the media's bogus coverage of ML
    • More accuracy fallacies: predicting psychosis, criminality, & bestsellers
    • P-hacking: a treacherous pitfall
    • P-hacking: your predictive insights may be bogus
    • P-hacking: how to ensure sound discoveries
    • Ensemble models and the Netflix Prize
    • Supercharging prediction: ensembles & the generalization paradox
    • Graded course completion quiz

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