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I did Udacity's Deep Learning and Machine Learning courses and found them to be a really great introduction, and enough for me to continue on my own. I'm not a
by intellectronica 9y ago
I did Udacity's Deep Learning and Machine Learning courses and found them to be a really great introduction, and enough for me to continue on my own. I'm not a front-end dev, but also definitely not a mathematician or computer scientist. You should be able to learn enough to do some cool stuff.
- Make sure you know Python well - pretty much everything interesting in ML is in Python. If you already know JS this shouldn't be too difficult.
- Learn you some classic ML using scikit-learn and some online course.
- Learn Deep Learning using TensorFlow, Keras and/or PyTorch with one of the online courses.
- Get in the habit of reading new papers in ML (which are out on a daily basis) and replicating the results.
- Start working on some cool, original stuff.
- reticentraccoon 9y agoFrom where to get the latest papers?
- kiril-me 9y agoCornell University Library [https://arxiv.org/ https://arxiv.org/] has a lot of publicly available papers. You need to find the domain that you are interested in and start looking. Usually, papers describe relative works and state of the art algorithms. So you can start with one algorithm and go deep. Books: https://medium.com/iambot/tagged/books https://medium.com/iambot/tagged/books Also, you can join communities. https://deeplearningstudies.slack.com https://deeplearningstudies.slack.com https://www.facebook.com/groups/1892696574296664/ https://www.facebook.com/groups/1892696574296664/
- webmaven 9y agoThe latest papers are posted to http://arxiv.org http://arxiv.org, but a more curated approach is very helpful. So take a look at http://www.gitxiv.com http://www.gitxiv.com and http://www.arxiv-sanity.com http://www.arxiv-sanity.com