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

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

w

Connecting to %s