Do THIS Instead of Watching Endless Tutorials — How I’d Learn Machine Learning FAST

Author(s): Egor Howell

Originally published on Towards AI.

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My best advice on how to study machine learning

I’ve been doing machine learning for over three years and am due to start a job as a machine learning engineer in a few months. So, it’s fair to say I have probably built hundreds of models at this point. That’s why, in this article, I want to break down how I’d learn machine learning again and give you some clarity on how you can approach it as well.

The term “machine learning” originated from Arthur Samuel in 1959, who was researching AI at IBM. He described machine learning as:

Field of study that gives computers the ability to learn without being explicitly programmed

Essentially, it’s a set of computational methods and algorithms that learn from data and past experience to make future predictions. Typically, the higher the quality and quantity of data, the better the future predictions will be as there is more information to learn from.

The “learning” part is that we don’t give explicit instructions to the computer regarding the algorithm. There are some loose rules, but the algorithm finds the best parameters of the model on… Read the full blog for free on Medium.

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Published via Towards AI