A Friendly Introduction to Machine Learning




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A friendly introduction to the main algorithms of Machine Learning with examples.
No previous knowledge required.

What is Machine Learning: (0:05)
Linear Regression: (2:25)
Gradient Descent: (4:10)
Naive Bayes: (6:20)
Decision Trees: (10:35)
Logistic Regression: (13:20)
Neural networks: (17:00)
Support Vector Machines: (18:50)
Kernel trick: (20:05)
K-Means clustering: (26:00)
Hierarchical Clustering: (28:30)
Summary: (29:40)

(Thanks to Nick Kartha for breaking down the topics!)

If you like this, there’s an extended version in this playlist:
https://www.youtube.com/playlist?list=PLAwxTw4SYaPknYBrOQx6UCyq67kprqXe3

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Comment List

  • Luis Serrano
    January 11, 2021

    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

  • Luis Serrano
    January 11, 2021

    K均值聚类讲得真好

  • Luis Serrano
    January 11, 2021

    Thank you

  • Luis Serrano
    January 11, 2021

    Thank you, that was really excellent, clear and informative to a numpty like me. I actually feel like I understood all that

  • Luis Serrano
    January 11, 2021

    A very humble person but most of all super smart… Thank you so much!!! Keep doing your great work.

  • Luis Serrano
    January 11, 2021

    "Let's open up our pizza shops in the west end"
    "But nobody lives there?"
    "Do it anyway. Trust me"
    "OK"
    …a year later, a 8.5 earthquake demolishes most of downtown San Francisco. Only the west end is spared. Massive number of people move to the west end.
    It's called the "Gut Feeling Algorithm".

  • Luis Serrano
    January 11, 2021

    If in the email they use comment syntax such as this /* cheap */. Can the computer read it in order to mark it as spam?

  • Luis Serrano
    January 11, 2021

    Brilliant video! All concepts so nicely explained.

  • Luis Serrano
    January 11, 2021

    Learn machine learning simply and free with DataSciPie…https://www.youtube.com/channel/UCClRgdNHjLdlYff86fPq5qw

  • Luis Serrano
    January 11, 2021

    Non-spam: 16 x 5 = 80.

  • Luis Serrano
    January 11, 2021

    Thank you! It has put things I have learnt into easily graspable concepts.

  • Luis Serrano
    January 11, 2021

    mindblowing explanation. such lucid language! thanks a lot

  • Luis Serrano
    January 11, 2021

    Amazing explanation, wish you had been my college teacher, do you have an online course?

  • Luis Serrano
    January 11, 2021

    Awesome Vid

  • Luis Serrano
    January 11, 2021

    pleas can you tell me some referances about machine learning and sensing processing (free references)

  • Luis Serrano
    January 11, 2021

    Hi. Wonderful explanation. Can I pls get this presentation to gcsumit007@gmail.com!!

  • Luis Serrano
    January 11, 2021

    Please go through https://m.youtube.com/channel/UC7tzG9dDMcp0-WfGROT9cYw
    Perfectly explained the mathematical approach of Machine learning

  • Luis Serrano
    January 11, 2021

    Perfect!

  • Luis Serrano
    January 11, 2021

    Absolutely brilliant 😀 Ur way of explaining concepts is able to build right intuition

  • Luis Serrano
    January 11, 2021

    First time I am much aware of the concept of machine learning and its algorithms, your examples are awesome. I am waiting for your more videos on machine learning. how we can start working on it?

  • Luis Serrano
    January 11, 2021

    I wouldn't want to repeat what others have been saying in the comments, but WOW, is this a great explanation of a complex topic. I just regret I only now discovered it. Will watch all your other videos. THANK YOU for putting the effort in this. <3

  • Luis Serrano
    January 11, 2021

    Hi Luis, I taught math classes for more than fifteen years and watched hundreds of videos on this topic. I can say that I am amazed by your videos and your teaching style. Examples, visualizations are great! You simplify the hard topics so well! Having a math phd tells the difference, too!

  • Luis Serrano
    January 11, 2021

    YOU ARE REALLY GOOD AT EXPLANING THINGS!!

  • Luis Serrano
    January 11, 2021

    insane ,tnx dude

  • Luis Serrano
    January 11, 2021

    I've study ML for several months and only this video has opened my mind. Thanks a million.

  • Luis Serrano
    January 11, 2021

    VidMark : 22:43

  • Luis Serrano
    January 11, 2021

    This is so far the first REALLY clear and well explained video related to Machine Learning. Thank you so much. your video is amazing and I'm happy to find it!

  • Luis Serrano
    January 11, 2021

    geat teacher and very helpful course

  • Luis Serrano
    January 11, 2021

    You really found your calling with teaching. These videos are phenomenal.

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