Some don't even write code by send across mathematical equations or excel sheets. They get thro' their job by doing R or Matlab (Yes, it is widely popular in industry). 90% of good data scientists have I have met don't understand programming or they don't even know what is Linux. (If you're not from CS I'll suggest not to go for those assignments)īut let me take a step back, most what is described in this post works great when you are not in part of industry but in college. Andrew Ng's course on coursera and enroll. I think that's it guys! I'm open for questions.Īfter building the base go search for Prof. Work out on your Database skills and learn how not to write spaghetti code.Trust me this'll be the best thing you'll do to yourself if you're willing to come in this field! not sufficient! Search these MOOCs for individual courses on Regression/Clustering/NLP/etc. These will build the foundation which is obv. Ok so now I'll just post the suitable links to find the course! Also Probability, Stats and Number theory!īuy this or this or The Imposter Handbook or Grokking Algorithms (Introduction to Algorithms by Cormen is also a very good book!)
Workout on your Maths! Learn Calculus and LA. CS50x by Harvard will be the best online free course for you. So here's a Map that I made which 'anyone' can follow to enter in this ML Industry. I'm making this post as because I've been asked this question many times!
