Presentation on ‘Machine Learning in plain English – Part 3

This is the 3rd and final part of Machine Learning in plain English -Part 3. In this presentation, I discuss the intuition behind SVMs, B-Splines, GAMs, Decision Trees, Random Forest and Gradient Boosting. Also I touch upon Unsupervised Learning, specifically PCA and K-Means. As before the presentation does not include any math or programming. The presentation can be seen below

The implementations of all the discussed algorithm are are available in my book which is available on Amazon My book ‘Practical Machine Learning with R and Python’ on Amazon

You may also like
1. My TEDx talk on the “Internet of Things”
2. Deep Learning from first principles in Python, R and Octave – Part 2
3. De-blurring revisited with Wiener filter using OpenCV
4. Architecting a cloud based IP Multimedia System (IMS)
5.The 3rd paperback & kindle editions of my books on Cricket, now on Amazon

To see all posts click Index of posts


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