Machine Learning Explained in 5 Minutes




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Machine learning explained simply. In this video you’ll learn what exactly machine learning is and machine learning basics. No knowledge of machine learning required to watch this video.

Hi! I’m Jade. Subscribe to Up and Atom for new physics, math and computer science videos every week!

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*Other Videos You Might Like*
Math, When Are You Going To Use It?
https://youtu.be/KX608C2RZek
Quantum Cryptography Explained Simply https://youtu.be/uiiaAJ3c6dM
Are Forcefields Possible?
https://youtu.be/ttno673mt2w

*SOURCES*
https://www.coursera.org/learn/machine-learning
https://medium.com/machine-learning-for-humans/why-machine-learning-matters-6164faf1df12
http://whatis.techtarget.com/definition/machine-learning
https://youtu.be/nKW8Ndu7Mjw

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Comment List

  • Up and Atom
    November 15, 2020

    Good

  • Up and Atom
    November 15, 2020

    and before it learns how to sort apples and bananas, the store is closed x)

  • Up and Atom
    November 15, 2020

    Come for the knowledge, stay for the drawings.

  • Up and Atom
    November 15, 2020

    Need more clasification. Some banana is also hard

  • Up and Atom
    November 15, 2020

    You are an awesome teacher, I've never seen such a simplified version of this thanks Alot ♥

  • Up and Atom
    November 15, 2020

    Hello! Thanks for the learning resource! Would you mind if I leave an initiation to the viewers about an on-going study?
    We are researchers in human-computer interaction (HCI) looking for people who have taken an
    initiative to recently learn Machine Learning on their own, for career, course or curiosity. Would you mind telling us here (https://www.surveymonkey.ca/r/SelfLearning_ML) about your experiences and any difficulties you faced while self-teaching ML and how you overcame them. There is also a chance to win $50 giftcard.
    You can help this project by taking out 5-10 minutes to participate in our study.
    For more details, see here: https://www.surveymonkey.ca/r/SelfLearning_ML
    Please share this request with your colleagues or friends who fit this description. People from any major/background may participate. The survey will be open until July 23, 2020.

  • Up and Atom
    November 15, 2020

    Grandpa is NOT in favor of machine learning fruit sorters

  • Up and Atom
    November 15, 2020

    So…she ended up not doing the vid on neural networks. I anticipate this is because there is really no way I found of explaining in-depth how it works without using calculus or linear algebra. A good substitute that is easier to understand is Decision trees. There are algorithmic ways to grow them, and I think you can explain it in 5min quite well!

  • Up and Atom
    November 15, 2020

    I blue screened when you showed a yellow apple and a red banana.

  • Up and Atom
    November 15, 2020

    I am distracted by your looks 🙂

  • Up and Atom
    November 15, 2020

    What happened to the follow-up video on neural networks?

  • Up and Atom
    November 15, 2020

    Oi, where'd you get that purple looking banana??

  • Up and Atom
    November 15, 2020

    In this video, Jade says her next video will be on Neural Network (4:56). Unfortunately I cannot find that video in the Up and Atom channel. If it is there, can someone please post a link to it? Appreciate it. P.S. I loved this video and Up and Atom is amazing. Thanks!

  • Up and Atom
    November 15, 2020

    at tonights mafia meeting, i'm gonna put a few robots into the budget

  • Up and Atom
    November 15, 2020

    I love your way of teaching madam.thank you so much

  • Up and Atom
    November 15, 2020

    first video I have watched on this subject and am impressed.subed

  • Up and Atom
    November 15, 2020

    This is really helpful. You can even check for – https://www.youtube.com/playlist?list=PLDmvslp_VR0wtf1zwTjdnrRyEE11fjRhP

  • Up and Atom
    November 15, 2020

    Jesus, finally a good basic explanation without exploding my brain

  • Up and Atom
    November 15, 2020

    Did you have a video that showed a principal (I don't know if it was physics or something else). I remember a part that said:
    If you put a shape in the "machine" it will either bring out a circle or a square.
    Or another example that you gave it was about color! (Was it quantum mechanics, quantum physics, mechanical engineering) I don't remember. I hope you do

  • Up and Atom
    November 15, 2020

    It's very clear you discuss it basically to understandable

  • Up and Atom
    November 15, 2020

    And this is how capitalism fails

  • Up and Atom
    November 15, 2020

    Red banana!?

  • Up and Atom
    November 15, 2020

    I would be a curious experiment to install a task of ‘learning everything you can about mankind, assign it with an ID, TFN, Acc no… and let it free on net for 6 – 12 months and interacting with it once a week to monitor progress in case it turns into Netflix pig or something.

  • Up and Atom
    November 15, 2020

    I wonder if it realises the more it is switched on and the more memory it uses up, the more it wears and the worse it performs… And shuts itself off for couple 100 yrs to preserve battery

  • Up and Atom
    November 15, 2020

    This reminds me of a great saying: "If it's written in Python, it's machine learning. If it's written in Power Point, it's AI"

  • Up and Atom
    November 15, 2020

    Great job as always, I love the cute animations. I was wondering if in this topic you would touch on persistence of data? The process of machine learning needs "some amount" of memory to recall the matrix of data sets of criteria, limited by the physical bounds of size and speed of retrieval of data at some cost. I know this gets deep pretty fast, but I was wondering if the size of memory used or allowed for storing data sets becomes one of the boundaries for judging the value of data in the set of criteria? What if in your example of color and softness you add another variable, the shape, this hits the memory. Since memory storage is finite in a computer, does your research in machine learning include "decision time" for moving short term variables into long term persistent memory? Again, you have a great channel. Cheers.

  • Up and Atom
    November 15, 2020

    Wow! It's very informative and simplified… Thanks for the video… ^^

  • Up and Atom
    November 15, 2020

    So we are working to eliminate jobs and create unemployment 😏

  • Up and Atom
    November 15, 2020

    trust me… u explained in a very very very simple way……

  • Up and Atom
    November 15, 2020

    Scary, scary cool 😎

  • Up and Atom
    November 15, 2020

    2:38. Innocent question.
    2:45. Disturbing results.
    Charm school weightage factor = 0.0
    2:48. Picasso weightage factor = 1.0

  • Up and Atom
    November 15, 2020
  • Up and Atom
    November 15, 2020

    HEy! reciting the digits of Pi has worked for me at least 25 times….. in my dreams

  • Up and Atom
    November 15, 2020

    my humble question. For making behavioral decisions, I mean when first it wrongly found apple as banana, how it will be corrected, so that it can take that experiences for next time.
    i mean there is a human intervention needed right. How it will find itself that it chose earlier was wrong .

  • Up and Atom
    November 15, 2020

    So will his Grandpa have his job at the grocery store again 🙂

  • Up and Atom
    November 15, 2020

    great explanation…easy to understand

  • Up and Atom
    November 15, 2020

    I love your voice.

  • Up and Atom
    November 15, 2020

    This was a great explainer, thank you! I'm putting together a playlist so I can explain to people what I'm doing when I disappear for days lol

  • Up and Atom
    November 15, 2020

    Sorry Grandpa, Jadebot 2000 terk er jerbs.

  • Up and Atom
    November 15, 2020

    Robot's left eye smaller than right eye
    <

  • Up and Atom
    November 15, 2020

    saw you and liked the video 😊😛

  • Up and Atom
    November 15, 2020

    Gotta love someone who wears a 12 Tone shirt!!! Good explanation of AI… I would have thrown something in about correcting wrong inputs…

  • Up and Atom
    November 15, 2020

    That last example featured a moron, or someone who had only a split second to make the distinction. If it's the former, it's not representative of human abilities, if it's the latter it's a systematic problem because humans need more time to process information than computers

  • Up and Atom
    November 15, 2020

    so awesome…i didn't understand "weights" until i saw this….thank you so much….what about Bias?

  • Up and Atom
    November 15, 2020

    video is more intuitive. video and you both were beautiful

  • Up and Atom
    November 15, 2020

    color and shap

  • Up and Atom
    November 15, 2020

    It is a great video… I am new in this field and all alone since I have no friend with me, all of my friends are in different fields… i wish to be surrounded by more like-minded individuals who are working in the same field. BTW thank you, Machine learning is awesome!!!

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