0:05 What is Machine Learning? Humans learn from past experiences, computers learn from previous data.2:25 Linear Regression: Finding the line that works best between a given set of points.4:10 Gradient Descent : Square of error minimization to get best line fit6:20 Detecting Spam e-mails with Naive Bayes Algorithm10:35 Decision Tree13:20 Logistic Regression17:00 Neural network as a logistic regression set intersection18:50 Support Vector Machine with linear optimization20:05 Kernel trick: planes for curves and vice-versa26:00 K-Means clustering28:30 Hierarchical Clustering29:40 Summary
Damn. By far the best introduction video ever. I was honestly scared after going through many coursera introductory videos. And I was literally on the verge of never looking back into ML. Thanks for this.
Very simple examples… turns out, I know more about ML than I originally thought !
Best explanation! By the way what software you use to animate your presentation?
Beautifully presented. Thanks.
I only look at the pictures, I would have liked to have this video in French
common sense, machine learning. anyone can understand
Loved the demo of k-means clustering. t=25:48
Excellent! Easy to follow and understand.
I must say this was an excellent primer. Thanks so much!
Long live to you sir, thank you
God bless this video and it's owner!
awesome! My Data Mgmt & R Applications teacher used this, an enjoyable watch 🙂
Thank u so much.. That was awesome❤
Awesome Luis, thanks
I was quite impressed with the way you have explained… its very easy to understand to even a primary students… great work… Please keep uploading such types of interactive videos..
Gradient Descent vs Average and Mean? Won't that be lesser computing cycle?
@Luis Serrano, may I know the software you use to create these animations.
Thank you so much, Luis. Your video is the most enlightening of them all on ML. Simple yet very true.
Best Explanation Ever. Thank You so much
Why? Now I'm interested in machine learning and wants to learn more. Great video with perfect examples.
😍your way of teaching is really good….
Thank you …
Now i think ml is easy …
Loved this little introduction 🙏✨
Best explanation EVER
It's an excellent explanation of ML and it's algorithms. Thanks for your great video.
As someone who has taken an econometrics course (econ major) and now works as a Software Engineer on our NLP pipeline, this helps fill in the bits of knowledge that I'm lacking in machine learning! I didn't even know that's how naive bayes work.
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