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Machine Learning Leadership and Practice – End-to-End Mastery

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Blurb

Machine learning is booming. It reinvents industries and runs the world. According to Harvard Business Review, machine learning – aka predictive analytics – 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 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. Without that leadership, most machine learning projects fail. By filling that gap, this course empowers you to generate value with machine learning – whether you're a techie, a business leader, or some combination of the two. 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! Everyone leading or participating in the deployment of machine learning must study them both. Beyond the core tech. As with most machine learning courses, you'll learn how the technical methods work “under the hood” – in an accessible way that's understandable to all learners. But you'll also continue beyond that to master critical business-side best practices that are usually omitted.

HQ Location

United States

Founded

2021

Employees

1 - 10

Total funding raised

Not available

Funding Status

Not available

Machine learning is booming. It reinvents industries and runs the world. According to Harvard Business Review, machine learning – aka predictive analytics – 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 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. Without that leadership, most machine learning projects fail.



By filling that gap, this course empowers you to generate value with machine learning – whether you're a techie, a business leader, or some combination of the two. 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! Everyone leading or participating in the deployment of machine learning must study them both.



Beyond the core tech. As with most machine learning courses, you'll learn how the technical methods work “under the hood” – in an accessible way that's understandable to all learners. But you'll also continue beyond that to master critical business-side best practices that are usually omitted.