Self drive yourself - even cars do that. Learn what you want. You learn the best when you learn on your own.
Transfer learning (yes, machine learning pun intended) is the ability to take what you learn in one domain and apply it to a new skill. If you already know how to play a musical instrument, learning a new one would be easy for you.
Learn in an abstract manner. When you learn something in order to apply it to an application, you are restricted to that domain. Learn the abstract concept first. This is one of the reasons why I took a linear algebra course before I jumped to machine learning. Engineering and business-related studies naturally gravitate toward a more application specific approach. This tends to restrict you.
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Transfer learning is the ability to take what you learn in one domain and apply it to a new skill.
Learn to apply old skills to new skills and vice versa.
Machine Learning is a tool that Data scientists use to obtain valuable patterns. Learning the math behind machine learning could give you an edge.
These six math subjects are the foundation for machine learning.
Polymathy leads to creativity, as one domain can inspire something new in a different domain.
For example: Having knowledge of geometry can help in painting, or knowing to play the piano, one can apply more creativity in a domain like mechanical engineering, by forming connections.
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