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Ask HN: Overwhelmed with learning machine learning, how do I proceed?
Inspired by this thread and the excellent answers (https://news.ycombinator.com/item?id=12882816), I felt courageous enough to open ask myself.
I've completed Andrew Ng course on Coursera but now I feel overwhelmed by the variety of information on machine learning out there. How do I start a new project? How do I choose what problem to pick and what algorithms to apply?
- SuperChihuahua 10y agoGo to https://www.kaggle.com/ https://www.kaggle.com/, pick a project, and apply all algorithms to the problem to see which one is the best.
- DYZT 10y agoWow, looks amazing. However I thought of finding my own niche / domain. This seems very structured on the one hand but would prevent me from finding my own small world to apply my new acquired knowledge on.
- lobe 10y agoYou don't have to stick on Kaggle forever. It is a fantastic resource for learning to apply ML techniques to real life data sets. Spend some time getting good at doing that and then move onto your own domain
- vineet 10y agoThere is a good discussion here: https://news.ycombinator.com/item?id=12713056 https://news.ycombinator.com/item?id=12713056
- vineet 10y agoHere is another site that you might find helpful: https://metacademy.org/ https://metacademy.org/
- RogerMoore121 10y agoMachine learning is employed in a range of computing tasks where designing and programming explicit algorithms is unfeasible; example applications include spam filtering, optical character recognition, search engines and computer vision. http://www.bestessaywritingservice.co/ http://www.bestessaywritingservice.co/