Machine Learning Rock Star - the End-to-End Practice Coursera

Overview

The Machine Learning Rock Star - the End-to-End Practice Specialization is offered by Coursera in partnership with SAS.

What you'll 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'll gain

• Machine Learning

• Human Learning

• Applied Machine Learning

• Machine Learning Algorithms

• Data Analysis

Key facts

• 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.