Machine Learning
Regression

A guide which anyone can follow to enter the machine learning industry.

Hey r/india!

I'm making this post as because I've been asked this question many times!

So here's a Map that I made which "anyone" can follow to enter in this ML Industry.

• If you don't know how to program. CS50x by Harvard will be the best online free course for you.

• Workout on your Maths! Learn Calculus and LA. Also Probability, Stats and Number theory!

• Learn linux (linuxmasterrace :P)

• Buy this or this or The Imposter Handbook or Grokking Algorithms (Introduction to Algorithms by Cormen is also a very good book!)

Ok so now I'll just post the suitable links to find the course!

• Very starting of ML

• Regression (THE BEST!)

• Clustering

• Classification

• Intro to dl-nets

• And then go for NLP and Text processing

These will build the foundation which is obv. not sufficient! Search these MOOCs for individual courses on Regression/Clustering/NLP/etc. (Each will hold a duration of 3-4 weeks)

Tip : Learn how to write DL-nets. Trust me this'll be the best thing you'll do to yourself if you're willing to come in this field!

Some more things -

• Work out on your Database skills and learn how not to write spaghetti code.

I think that's it guys! I'm open for questions.

Thanks,

Mason

It's a form of regression. We're trying to estimate the signal model equation using collected data, understanding that there is noise in the data.

Now, you might ask, "But most of the signals we're trying to analyze are naturally discontinuous, so there is no model to estimate, right?" Truth is, we can handle audio (1-dimensional signals), video (6-dimensional signals), and others by assuming piecewise regions are continuous and detecting when an appropriate discontinuity occurs.

You've asked for references, so here you go:

• Machine Learning: Regression
• Kalman Filtering: Can Kalman filter be used for Machine Learning or prediction problems?
• A Beginner's Guide To Understanding Convolutional Neural Networks