5 Machine Learning Areas You Should Be Cultivating by Jason Brownlee.
From the post:
You want to learn machine learning to have more opportunities at work or to get a job. You may already be working as a data scientist or machine learning engineer and looking to improve your skills.
It is about as easy to pigeonhole machine learning skills as it is programming skills (you can’t).
There is a wide array of tasks that require some skill in data mining and machine learning in business from data analysis type work to full systems architecture and integration.
Nevertheless there are common tasks and common skills that you will want to develop, just like you could suggest for an aspiring software developer.
In this post we will look at 5 key areas were you might want to develop skills and the types of activities that you could take on to practice in those areas.
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Jason has a number of useful suggestions for the five areas and you will profit from taking his advice.
At the same time, I would be keeping a notebooks of assumptions or exploits that are possible with every technique or process that you learn. Results and data will be presented to you as though the results and data are both clean. It is your responsibility to test that presentation.