Machine Learning: an overview
Key Takeaways
Provides an overview of machine learning methods, including a taxonomy of problems and algorithmic solutions
Original Description
The course provides a general overview of the main methods in the machine learning field. Starting from a taxonomy of the different problems that can be solved through machine learning techniques, the course briefly presents some algorithmic solutions, highlighting when they can be successful, but also their limitations. These concepts will be explained through examples and case studies.
Watch on External: Coursera ↗
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