Machine learning is booming. It reinvents industries and runs the world. According to Harvard Business Review, machine learning is “the most important general-purpose technology of our era.”
But while there are so many how-to courses for hands-on techies, there are practically none that also serve business leaders – a striking omission, since success with machine learning relies on a very particular business leadership practice just as much as it relies on adept number crunching.
This free-access series of three courses fills that gap. It empowers you to generate value with machine learning by ramping you up on both the technical side and the business side – both the cutting edge modeling algorithms and the project management skills needed for successful deployment.
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.
LEARNING OBJECTIVES: After 3 free access courses, you will be able to:
- 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
NO HANDS-ON AND NO HEAVY MATH. Rather than a hands-on training, this course serves both business leaders and burgeoning data scientists alike with expansive, holistic coverage of the state-of-the-art techniques and business-level best practices. There are no exercises involving coding or the use of machine learning software.
TECHNICAL LEARNERS. This curriculum provides complementary know-how that all great techies will want to master.
IN-DEPTH YET ACCESSIBLE. Brought to you by industry leader Eric Siegel – a winner of 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 machine learning.
MORE INFORMATION AND FREE ENROLLMENT:
This vendor-neutral Coursera specialization is offered by Eric Siegel in collaboration with SAS.