Maximize impact & feasibility
Understand what Machine Learning can/cannot do. Get an intuition of how it works, learn basic concepts and terminology.
Formulate ML use case ideas that leverage proprietary data and align with your objectives.
Focus on the right problems, from a business AND a technical perspective. Assess feasibility of your ideas and prioritize them.
Online course taught by Louis Dorard.
What’s included
3 hours of video lessons + text summaries + slides
Hands-on demos
Example use cases
Guided exercises
for leaders & innovators
This non-technical course is for executives, managers, innovators, entrepreneurs, builders, looking to create value with ML and to apply it to their own domain. You’ll gain the knowledge and skills to find the best ML use cases for your organization.
If you’ve already assessed the feasibility of one or more ML use case ideas, and you’re looking to turn them into full ML system designs, have a look at our next course: PLAN — Master ML project planning.
WHAT YOU’LL LEARN
This course contains 7 lessons. They provide the shortest and most effective introduction to ML, and show techniques to flesh out use case ideas that are high-value and approachable:
Introduction to ML
What is Machine Learning?
No-code ML demos
Concepts and terminology
Possibilities and limitations of ML models
Types of use cases that create great value
Detailed use cases
What is Deep Learning?
When ML fails
Conclusions
Get started now!
Get access to this course (and more) with an OWNML+ subscription. No commitment — cancel anytime.