An End-to-End Guide to Leading and Launching ML. This expansive machine learning curriculum is accessible to business-level learners and yet vital to techies as well. It covers both the state-of-the-art techniques and the business-side best practices.
WHAT YOU WILL LEARN
- Lead ML: Manage or participate in the end-to-end implementation of machine learning
- Apply ML: Identify the opportunities where machine learning can improve marketing, sales, financial credit scoring, insurance, fraud detection, and much more
- Greenlight ML: Forecast the effectiveness of and scope the requirements for a machine learning project and then internally sell it to gain buy-in
- Regulate ML: Manage ethical pitfalls, the risks to social justice that stem from machine learning – aka AI ethics
SKILLS YOU WILL GAIN
About this Specialization
Applied Learning Project
Vendor-NeutralThis specialization includes several illuminating software demos of ML in action using SAS products. However, the curriculum is vendor-neutral and universally applicable. The learnings apply, regardless of which ML software you end up choosing to work with.
In-Depth Yet AccessibleBrought to you by a veteran industry leader who won teaching awards when he was a professor at Columbia University, this specialization stands out as one of the most thorough, engaging, and surprisingly accessible on the subject of ML.
Like a University CourseThese three courses are also a good fit for college students, or for those planning for or currently enrolled in an MBA program. The breadth and depth of this specialization is equivalent to one full-semester MBA or graduate-level course.
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