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Well then. Your 2 cents on how to become one after going through those videos? I am genuinely asking. Looking for a career in it. At the beginning now. Read a
by lazybreather 8y ago
Well then. Your 2 cents on how to become one after going through those videos?
I am genuinely asking. Looking for a career in it. At the beginning now.
Read a fair bit, basics videos and all that online. Nothing formal. Can do a bit of c, c++.
- minimaxir 8y agoI strongly recommend doing personal projects with ML, particularly projects/datasets that haven't been done before. (i.e. not that Titanic dataset or sentiment analysis of Trump's tweets)
- EpicEng 8y agoLike anything... do it. If you have the academic background get an entry level job. If not, you'll have to build things using ML.
- minimaxir 8y agoOf note, there aren't really any entry-level ML jobs (Data Analyst isn't the same, although would be a valid stepping stone).
- nl 8y agoSure there are. I get freelancers to do data preprocessing for me frequently, and sometimes put it through some off the shelf model. Generally it's hard to find the right people for this, but that isn't exactly unique.
- skgoa 8y agoWork through a ton of Coursera courses and implement your own projects. If you don't know what projects you could do, you can use Kaggle to get ideas and datasets. The MOOC courses are "just" there to teach you the basics and background. Projects are absolutely necessary for you, because without a degree you will only be able to convince prospective employers based on having a lot of practical experience.