Coursera’s “Machine Learning for Everyone” Fulfills Unmet Training Requirements « Machine Learning Times

My new course sequence on Coursera, Machine Learning for Everyone (free entry), fulfills two totally different sorts of unmet learner wants. It’s a conceptually-complete, end-to-end course sequence – its three programs quantity to the equal of a faculty or graduate-level course – that covers each the expertise facet and the enterprise facet. While absolutely accessible and comprehensible to business-level learners, it’s additionally additionally very important to knowledge scientists and budding technical practitioners, because it covers:

  • The state-of-the-art strategies
  • The enterprise management greatest practices
  • A variety of frequent pitfalls and easy methods to keep away from them

1) A complete go-to for BUSINESS-SIDE learners – by overlaying the next:

  • ML undertaking management (administration course of)
  • ML algorithms: substantive but accessible protection
  • Data preparation

2) Need-to-knows for EVERYONE in ML – each business-side learners and technical practitioners – by additionally overlaying the next:

  • ML ethics: dangers to social justice, equitable fashions, machine bias, and many others.
  • Business-oriented efficiency metrics
  • Uplift modeling (aka persuasion modeling)
  • Major pitfalls, in-depth:
    • P-hacking
    • Overfitting
    • The accuracy fallacy
    • Presuming causation from correlations
    • Serious issues with hyping ML as “AI”

This guidelines illustrates the distinctive contribution of this curriculum:

More details about “Machine Learning for Everyone”:

Brief curriculum overview (video)

Seven Reasons Budding Data Scientists Need a Machine Learning Course That’s Not Hands-On

Geek Stuns World with Machine Learning Rap Music Video

Opening video: How Machine Learning Works – in 20 Seconds

Watch 3 Videos from Coursera’s New “Machine Learning for Everyone”

About the Author

Eric Siegel, Ph.D., is a number one guide and former Columbia University professor who makes machine studying comprehensible and fascinating. He is the founding father of the long-running Predictive Analytics World and the Deep Learning World convention sequence, which have served greater than 17,000 attendees since 2009, the teacher of the end-to-end, business-oriented Coursera specialization “Machine learning for Everyone”, a preferred speaker who’s been commissioned for more than 100 keynote addresses, and government editor of The Machine Learning Times. He authored the bestselling Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, which has been utilized in programs at greater than 35 universities, and he received instructing awards when he was a professor at Columbia University, the place he sang educational songs to his college students. Eric additionally publishes op-eds on analytics and social justice.


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