In this video, I walk through how Machine Learning works under the hood. I cover the popular algorithms of logistical regression, decision trees and random forests, and k nearest neighbor.
Thank you for this lecture! Extremely clear, well organized and well delivered! Not knowing much about machine learning I now feel comfortable with key concepts and elements of it!
Thanks Don - As someone with very basic data science, dev, data analytics background this was an extremely helpful introduction. Interesting seeing the different models at work - reminds me a lot of geospatial analytics. (Still Cartesian based averaging/smoothing), but clearly but with intelligence! I for one look forward to powering our cybernetic overlords as a glorified meat battery.
For a newbie like me, this presentation was very meaningful. A great presentation. Is there a book that goes with this? If so how can I get a copy? Thanks once again.
Thank you for this lecture! Extremely clear, well organized and well delivered! Not knowing much about machine learning I now feel comfortable with key concepts and elements of it!
Great video. Very easy to follow and understand. Thank you for posting. Please post more on deep learning, etc.!
Avik Ghosh glad you liked it. I have one more to post. Let me find it!
Thanks Don - As someone with very basic data science, dev, data analytics background this was an extremely helpful introduction. Interesting seeing the different models at work - reminds me a lot of geospatial analytics. (Still Cartesian based averaging/smoothing), but clearly but with intelligence! I for one look forward to powering our cybernetic overlords as a glorified meat battery.
great lecture, thank you.
For a newbie like me, this presentation was very meaningful. A great presentation. Is there a book that goes with this? If so how can I get a copy? Thanks once again.
Apps Collab the book that I found most helpful aligned with this material is Python Machine Learning by Raschka. It’s really great.