Great resource for resources and pathway related to how to start with Machine Learning
Good Courses
Anndrew Ng Coursera ML basic ML course : if you are totally new to machine learning (else you can skip it)
Stanford CS229 : Haven’t myself done it yet, but looks very cool for those who are just starting with ML in general
3B1B’s series of neural nets : Very helpful for building a strong base and intuition
Stanford CS231n Youtube Course & Its website : Very good resource to start with, clears out the basics of ML in the first few videos along with building an intuition of CV
OR
Michigan University’s EECS 498 : Almost the similar content but explained in depth and in an easier fashion ( by the same instructor )
3B1B Convolutions Video : Before starting off the CNN in CS231n, I’d do this first, since it gives you a very good base and intuition of what Convolutions in actual math mean and then go back to 231n since I feel it starts on a bit of coarse note this way.
Topics which should be known if you wanna be called a good CV Research
- Basics of ML
- Bias Variance
- Classification
- Regression
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Strong foundation of Neural Nets ( very clear intuition of how they work exactly )
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Image Processing
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Convolutions
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Gaussian Blur, Mean Blur, Sobel Operator (for detecting edges)
FOR DETECTING EDGES : Black and white filter ⇒ Gaussian Blur ⇒ Sobel (both in X and Y direction and then square rooting over the sum of their squares )
since, it will remove the unnecessary edges from the images and just keep the main ones which are important for the image
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