What is Machine Learning?

our ability to learn and get better at tasks through experience is part of being human when we are born we know almost nothing and can do almost nothing for ourselves but soon we’re learning and becoming more capable every day but did you know that computers can do the same. Machine learning brings together statistics and computer science to enable computers to learn how to do a given task without being programmed to do so. Just as your brain uses experience to improve a task so can computers. Say you need a computer that can tell the difference between a picture of a dog and a picture of a cat you could begin by feeding it images and telling it this one’s a dog, that one’s a cat. A computer programmed to learn will seek statistical patterns within the data that will enable it to recognize a cat or dog in the future it might figure out on its own that cats have shorter noses and dogs come in a larger variety of sizes and then represent that information numerically organizing in space but crucially it’s the computer not the programmer that identifies those patterns and establishes the algorithm by which future data will be sorted. One example of a simple yet highly effective algorithm is to find the optimal line separating cats from dogs. When the computer sees a new picture it checks which side of the line it falls on and then says either cat or dog. But of course there can be mistakes. The more data the computer receives the more finely tunes its algorothm becomes and the more accurate it can be in its predictions. Machine learning is already widely applied. It’s the technology behind facial recognition, text to speech recognition, spam filters on your inbox, online shopping or viewing recommendations, credit card fraud detection and so much more. At the University of Oxford machine learning researchers are combining statistics and computer science to build algorithms that can solve more complex problems, more efficiently, using less computing power From medical diagnosis to social media the potential of machine learning to transform our world is truly mind-blowing. To find out more about machine learning visit www.OxfordSparks.ox.ac.uk follow us on Twitter and find us on Facebook


  1. LeiosOS

    January 11, 2017 at 8:33 am

    Machine learning is an incredibly powerful numerical tool. Man, I love how far we've come technologically!

  2. Robert Moore

    January 12, 2017 at 5:34 am

    Great introduction. Question: is it always the case that humans need to input the potential features that are used for classification? For instance, the ML algorithm uses the animal's height, length, and face size as features for classification, with computer vision being used to map images to these features. Do some ML algorithms create these features and features maps automatically, or are these always created outside of the algorithm?

    PS: What did you use to create this video, it looks great πŸ™‚

  3. cellofingers

    January 21, 2017 at 3:12 pm

    AI is already here, and that is not such a bad thing. Can computers become self aware? Yes I think so in the not too distant future.

  4. Man Choi

    February 2, 2017 at 2:58 am

    Thank you especially Korean subtitle which is awesome for Korean Teacher and Student. ν•œκ΅­μ–΄ μžλ§‰ κ°μ‚¬λ“œλ¦½λ‹ˆλ‹€. μ΅œλ§Œλ“œλ¦Ό

  5. Nandakishore Reddy Appidi

    March 17, 2017 at 5:22 am

    This is a pretty cool video.,Thank you!

  6. Paras Ftl

    March 28, 2017 at 2:25 am

    Hijab dafq?

  7. L

    April 15, 2017 at 3:10 pm

    Subskriebd. great video. lovely voice, attractive animation.

  8. Wali Azizi

    October 31, 2017 at 8:36 pm

    Yes it is Leios, you love it but sometimes it makes me afraid…lolx..

  9. godsharry

    November 22, 2017 at 2:37 am

    Awesome! Succinct πŸ™‚ Very effective for a newbie to understand the concept:-)

  10. Hemanth Raju

    November 23, 2017 at 12:45 pm


  11. Patricio Hondagneu Roig

    March 15, 2018 at 12:58 pm

    Okay, it's pretty controversial to make a female scientist cartoon wear a hijab. In one hand, women are independent individuals same as men and can wear whatever they want, in principle; in the other hand, the hijab is a symbol of how that principle doesn't apply everywhere as there are many places where not wearing a hijab or even more oppressive covers can get women punished.

  12. Matthew Hill

    April 5, 2018 at 6:08 pm

    But why is the computer drooling?

  13. Luciano Freire

    July 15, 2018 at 3:08 am

    Is this an EDUCATIONAL piece of information or rather one of IDEOLOGICAL PROPAGANDA??? What is exactly the link between a HIJAB or a TURBAN and SCIENCE???

  14. Glamor Tips

    August 17, 2018 at 7:09 am

    (https://goo.gl/HiYPuY) Watch this video for complete tutorial about artificial intelligence and machine learning.

  15. Hetal Vyas

    August 17, 2018 at 8:38 am

    Nice video. I have shared it here https://www.facebook.com/AssignmentSolutionGuru/

  16. Kanlayanee Dattaradon

    September 14, 2018 at 8:41 am

    well explanation. love it

  17. Nick G.

    October 4, 2018 at 11:09 pm

    i had to make a power point for my Prin info tech class and this video really helped me with that. Thank you.

  18. Sandun Akalanka

    October 28, 2018 at 3:21 pm

    Great video but I cannot understand why people get offended about the woman in Hijab. sigh

  19. irum shujah

    November 7, 2018 at 6:49 pm

    I love the way you explained, plus the diversity πŸ™‚

  20. DA42PIC

    December 14, 2018 at 6:04 pm

    Learn about computers. This video is a blatant lie.

  21. Equity, Truth and Justice

    February 13, 2019 at 8:00 pm

    Nice video, but full of propaganda shit. Useless ideology. Why can't we keep all that crap away from science?​

  22. Sophus Vaino Soerensen

    April 3, 2019 at 8:11 am


  23. Chin Wang Lau

    July 8, 2019 at 3:23 pm

    noting statistics do only CS thanks

  24. Sesha Gopalan

    August 2, 2019 at 2:14 pm

    nice work

  25. Honey Bie

    September 13, 2019 at 2:03 pm

    There are many ways in which machine learning will revolutionize the future of education with tasks performed by machines. Whilst the transition will be enormous and complex, it is yet to be predicted whether children will receive better productivity through machines or teachers.

    Here are the potential ways in which machine learning could transform the education sector.


  26. Life Hacks!

    October 8, 2019 at 1:03 pm

    Could I use this Video on Website? I need your permission.. Thanks

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