AI Notes

High dimensional datasets as they are called - as expected - are immune to traditional statistical treatments, as such galvanizing the ...
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One of the exicting things I found about learning machine intelligence is it's amenabilities to very visible analogies. Once again, ...
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Here, we have another very intuitive machine learning algorithm. In one sentence: A decision tree is a tree describing how ...
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k-Nearest Neighbors (kNN) is one of the simplest and intuitive machine learning algorithm out there. It simply argues that a ...
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. . . and this will work by definition for a regression problem but not for a classification problem. To ...
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In my last notebook we looked at a classification problem, and we defined many classification metrics. In this notebook, we ...
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Now, say, you have built a machine learning model; the question you ask is: 'how well does this thing works ...
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These are the methods involved in sampling during machine learning. In my last notebook-blog, I hinted the idea of an ...
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In our ML blog-syllabus, mathematical foundations of ML should be the next stop, however I have decided to postpone this till ...
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Now that I am done with the computational foundations of ML in python, I can not in good conscience proceed ...
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In this notebook, I demonstrated a few visualization techniques using my reading data from Goodreads ...
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Pandas is an open source python library that is used for data handling and manipulation. It was developed to work with ...
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NumPy is an inescapable package for scientific computing in python. You can think of it as a foundation for numerous ...
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A  web-based application in the form of a notebook that can be used for storing (and sharing) codes, notes, mathematical ...
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About 2 months ago, I announced  this new blog section. I will be starting with machine learning over the next ...
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I caught the AI flu – specifically the very virulent machine learning strain. It’s been on for several months now, ...
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