Machine learning reinvents industries and runs the world. Harvard Business Review calls it “the most important general-purpose technology of our era.”
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Machine learning reinvents industries and runs the world. Harvard Business Review calls it “the most important general-purpose technology of our era.”
Machine learning reinvents industries and runs the world. Harvard Business Review calls it “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 the business leadership of machine learning – a striking omission, since success with machine learning relies on a very particular project leadership practice just as much as it relies on adept number crunching.
By filling that gap, this course empowers you to generate value with ML. It delivers the end-to-end expertise you need, covering both the core technology and the business-side practice.
Why cover both sides? Because both sides need to learn both sides! This includes everyone leading or participating in the deployment of ML.
NO HANDS-ON. Rather than a hands-on training, this specialization serves both business leaders and burgeoning data scientists with expansive, holistic coverage.
BUT TECHNICAL LEARNERS SHOULD TAKE ANOTHER LOOK. Before jumping straight into the hands-on, as quants are inclined to do, consider one thing: This curriculum provides complementary know-how that all great techies also need to master.
WHAT YOU'LL LEARN. How ML works, how to report on its ROI and predictive performance, best practices to lead an ML project, technical tips and tricks, how to avoid the major pitfalls, whether true AI is coming or is just a myth, and the risks to social justice that stem from ML.
What's inside
Three courses
The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats
(4 hours)
The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats
(4 hours)
Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership
(4 hours)
Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership
(4 hours)
Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls
(4 hours)
Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls
(4 hours)Learning objectives
- 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
- 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
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