Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership
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Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership
Duration: 10 hours
EBES2 : EBES2
This course will guide you to lead or participate in the end-to-end implementation of machine learning (aka predictive analytics). Unlike most machine learning courses, it prepares you to avoid the most common management mistake that derails machine learning projects: jumping straight into the number crunching before establishing and planning for a path to operational deployment.

Whether you'll participate on the business or tech side of a machine learning project, this course delivers essential, pertinent know-how. You'll learn the business-level fundamentals needed to ensure the core technology works within – and successfully produces value for – business operations. If you're more a quant than a business leader, you’ll find this is a rare opportunity to ramp up on the business side, since technical ML trainings don’t usually go there. But know this: The soft skills are often the hard ones.
Learn How To
  • Apply ML: Identify the opportunities where machine learning can improve marketing, sales, financial credit scoring, insurance, fraud detection, and much more.
  • Plan ML: Determine the way in which machine learning will be operationally integrated and deployed, and the staffing and data requirements to get there.
  • Greenlight ML: Forecast the effectiveness of a machine learning project and then internally sell it, gaining buy-in from your colleagues.
  • Lead ML: Manage a machine learning project, from the generation of predictive models to their launch.
  • Prep data for ML: Oversee the data preparation, which is directly informed by business priorities.
  • Evaluate ML: Report on the performance of predictive models in business terms, such as profit and ROI.
  • Regulate ML: Manage ethical pitfalls, such as when predictive models reveal sensitive information about individuals, including whether they're pregnant, will quit their job, or may be arrested – aka AI ethics.
  • Prerequisites
    Before this course, learners should take the first of this specialization's three courses, The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats.
    THIS COURSE IS PART OF

    SAS Statistics Foundations​ Learning Subscription



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