FeaturedUdemy
Machine Learning for Business
4.8(1,721)46k studentsBEGINNEREnglish
Korshub's take
Applying Machine Learning to Business Strategy
To capture value from AI, business leaders must effectively bridge commercial goals with technical execution. This beginner course provides non-technical leaders with actionable frameworks for structuring machine learning initiatives.
Key Insights
- Project Structuring: Learn how to translate commercial questions into defined modeling tasks for technical machine learning teams.
- Model Selection & Limits: Distinguish between prediction and inference, understand probability modeling, and recognize when ML should not be applied.
- Customer Segmentation: Explore how unsupervised learning algorithms unlock meaningful customer segmentation strategies.
Target Audience
Executives, product managers, and business strategists looking to collaborate effectively with data science teams.
About this course
Learn the Basics of Machine Learning
This course will introduce the key elements of machine learning to the business leaders. We will focus on the key insights and base practices how to structure business questions as modeling projects with the machine learning teams.
Dive into the Model Specifics
You will understand the different types of models, what kind of business questions they help answer, or what kind of opportunities they can uncover, also learn to identify situations where machine learning should NOT be applied, which is equally important. You will understand the difference between inference and prediction, predicting probability and amounts, and how using unsupervised learning can help build meaningful customer segmentation strategy.
Price
Free
Advertisement