A Friendly Introduction to Machine Learning

44 thoughts on “A Friendly Introduction to Machine Learning”

1. 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 fit
   6:20 Detecting Spam e-mails with Naive Bayes Algorithm
   10:35 Decision Tree
   13:20 Logistic Regression
   17:00 Neural network as a logistic regression set intersection
   18:50 Support Vector Machine with linear optimization
   20:05 Kernel trick: planes for curves and vice-versa
   26:00 K-Means clustering
   28:30 Hierarchical Clustering
   29:40 Summary

2. Nice tutorial Luis. Do you have full course of machine learning?

3. Nice, easy to understand explanation.. Keep doing the good work Luis!

4. I downloaded the video. Watched it thrice. Came back to comment, THIS IS AWESOME! A big, big, thank you!

5. Great explanation! I am a beginner in machine learning and this seems to me the best way to grasp the topic.

6. machine learning types https://youtu.be/A_9hsDXgT0E

7. Great explanation. A person with average technical knowledge can also easily understand machine learning algorithms.

8. good video

9. wow, with teaching like this I would graduate for sure, thank you

10. well explained. faved and subscribed

11. Brilliant. Thank you so much..should have probably seen this before I took up a full fledged course in Machine Learning. Definitely learnt a lot more here!

12. Wow! This video is amazing 🙂

13. amazing presentation … super like

14. Awesome introduction!! Thank you.

15. Brilliant, thank you for the excellent explanations of the algorithms. Very well presented, simple but effective. The slides and key points made make it appear simple, the time just flew watching the video.

16. This is brilliant and explains extremely complicated concepts in an easy to understand intro. Really loved it!

17. This was great !

18. One of t best video on machine learning i ever watch..subscribed?

19. On the part of Cutting Data with Style (@19.22 in video clip), sir are actually demonstrating in the case of a few points, but if there is a large amount of datas, we can't just simply ignore the data point, just like you said we can ignore because it is out of boundary right??

20. Great introduction to ML. No one does this better than you.
    Now I need to dig deeper into the algos that you introduced. Those will be the hard parts. Bu I do greatly enjoy the introductions. Thanks Luis!

21. Informative Video

22. Well explained with awesome examples but a Programmer should have more practical knowledge to apply the appropriate algorithm to get right solutions having solid foundation knowledge on Mathematical Statistics, Algebra, Calculus, Theory of Probability else it will be elephant and blind men story. Kodus

23. Thank you. Best Introduction!

24. Why should a student who got low grades "not get accepted no matter what their test score was" ?

25. Marvelous – depth you broke it down to simple. Great ! , happy to subscribe

26. Absolutely brilliant tutorial. Examples were chosen very well. Kudos Luis!!

27. Some really good and clear instruction here.

28. Fun way to learn, THANKS MAN

29. I've liked this video even before watching it…Because I already knew how great it will be…

30. 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.

31. THANK YOU

32. It's an excellent explanation of ML and it's algorithms. Thanks for your great video.

33. Best explanation EVER

34. Loved this little introduction ?✨

35. Nice

36. ?your way of teaching is really good….

    Thank you …

    Now i think ml is easy …

37. Why? Now I'm interested in machine learning and wants to learn more. Great video with perfect examples.

38. Best Explanation Ever. Thank You so much

39. Thank you so much, Luis. Your video is the most enlightening of them all on ML. Simple yet very true.

40. @Luis Serrano, may I know the software you use to create these animations.

41. Gradient Descent vs Average and Mean? Won't that be lesser computing cycle?

42. 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..

43. Awesome Luis, thanks

44. Thank u so much.. That was awesome❤

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