Machine Learning & Artificial Intelligence: Crash Course Computer Science #34

Machine Learning & Artificial Intelligence: Crash Course Computer Science #34

So we’ve talked a lot in this series about how computers fetch and display data, but how do they make decisions on this data? From spam filters and self-driving cars, to cutting edge medical diagnosis and real-time language translation, there has been an increasing need for our computers to learn from data and apply that knowledge to make predictions and decisions. This is the heart of machine learning which sits inside the more ambitious goal of artificial intelligence. We may be a long way from self-aware computers that think just like us, but with advancements in deep learning and artificial neural networks our computers are becoming more powerful than ever.

Produced in collaboration with PBS Digital Studios: http://youtube.com/pbsdigitalstudios

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50 Comments

  1. bill Niko on November 23, 2019 at 6:42 pm

    Every neuron connect to every neuron with different weight .



  2. Mohanraj Sampath on November 23, 2019 at 6:43 pm

    Super Neat!!! Loved it!



  3. krskiwi on November 23, 2019 at 6:43 pm

    That was very concise and extremely informative. If only all content on Youtube was this good!



  4. Luciana Morais on November 23, 2019 at 6:44 pm

    Crash Course needs to become Crash Degree. This and the episode on Natural Language Processing, pretty much saved me hours of tedious reading of some O’Reilly book.



  5. boom bang on November 23, 2019 at 6:45 pm

    Wow. I read somewhere that the neo-nazi are members of A.I. Lab and anyone any idea about this?



  6. Shaun Y. Cheng on November 23, 2019 at 6:45 pm

    nice video!



  7. bill Niko on November 23, 2019 at 6:47 pm

    After this video I became a strong AI can beat alpha go.



  8. Tony Li on November 23, 2019 at 6:49 pm

    We gamers won’t take responsibility for human extinction



  9. Randall Ledbetter on November 23, 2019 at 6:49 pm

    A robot walks into a bar.
    Robot ; " Hey bartender , I’ll have a beer please."
    Bartender: " We don’t serve your type in here.
    Robot: " No, but someday you will."



  10. Anthony Morford on November 23, 2019 at 6:51 pm

    Hi Carrie Anne



  11. Jonas Bergqvist on November 23, 2019 at 6:54 pm

    Super good! Thanks alot!



  12. David Huss on November 23, 2019 at 6:54 pm

    7:39 did you mean to say "iterations"?



  13. darak abdushakir on November 23, 2019 at 6:55 pm

    Great job.



  14. bill Niko on November 23, 2019 at 6:57 pm

    Hey do you have book , i love your series



  15. Randall Ledbetter on November 23, 2019 at 6:57 pm

    Please just help me balance my checkbook.



  16. Arsen Ghasabyan on November 23, 2019 at 6:57 pm

    Excellent video! A little bit too fast, though.



  17. Pooja Mahesha on November 23, 2019 at 7:05 pm

    Thanks for the intelligently designed graphics that pops at times.. They were so useful .. 🙂



  18. bo reddude on November 23, 2019 at 7:06 pm

    yer fat



  19. Ali107 on November 23, 2019 at 7:06 pm

    SkyNet is Inevitable.



  20. Duc D on November 23, 2019 at 7:07 pm

    I learned so much in 12 mins
    thank you so much!



  21. Amaroq Starwind on November 23, 2019 at 7:08 pm

    The graph on 2:30 actually looks like a moth.



  22. Benji Campos on November 23, 2019 at 7:08 pm

    it’s amazing how the essence of trial and error can be emphasized in every aspect of life



  23. Faisal Bin Faruk on November 23, 2019 at 7:09 pm

    hey Marvel created a strong AI, "Dr. Strange"



  24. Barry Herron on November 23, 2019 at 7:09 pm

    Wasaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaap



  25. MR on November 23, 2019 at 7:09 pm

    This is the beginning of end.



  26. Gareth Shelley on November 23, 2019 at 7:10 pm

    Stop making weird faces when talking



  27. Rak Usu on November 23, 2019 at 7:10 pm

    OpenAI 5 defeated some pro dota players.



  28. Pyaie Phyo on November 23, 2019 at 7:10 pm

    May I ask one question? 7:32 why subtract 6 from apply bias? Thank you



  29. first name on November 23, 2019 at 7:11 pm

    not hot dog



  30. Cody Gillespie on November 23, 2019 at 7:13 pm

    Fantastic video



  31. Aviral Janveja on November 23, 2019 at 7:13 pm

    Such avant garde content makes YouTube an avant garde platform.



  32. PAPA CHOUDHARY on November 23, 2019 at 7:13 pm

    Thanks!



  33. ralph diaz on November 23, 2019 at 7:14 pm

    Hello crash course great vids.
    Make some conceptual understanding videos on Multivariate calculus, like the ones made by 3blue1brown YouTube channel.
    Great job Carrie Ann..



  34. Chris Sabre on November 23, 2019 at 7:15 pm

    No , computers dont and wont have intelligence, that takes comprehension, they have and use predictability based on gathered data,



  35. VideoSiteAccess on November 23, 2019 at 7:15 pm

    This was GOOD!



  36. Tony Li on November 23, 2019 at 7:16 pm

    After this video I can hardly understand why ai is a threat. It basically can just do one specific task better.



  37. Doctor FudgeBrownie on November 23, 2019 at 7:17 pm

    A SMART MICROWAVE?!



  38. Jadwiga Buczyk on November 23, 2019 at 7:17 pm

    I don’t like your accent.



  39. Ramya Ranjan on November 23, 2019 at 7:18 pm

    She is such a good teacher , never knew Machine leaening and AI could be this interesting.



  40. Dragoon77 on November 23, 2019 at 7:19 pm

    Arthur from The Tick at 3:33 ?



  41. Dull Bananas on November 23, 2019 at 7:20 pm

    "BSOD" Course



  42. Steph Barbee on November 23, 2019 at 7:20 pm

    Excellent video for Machine Learning! Kudos! Thank you for sharing!



  43. Global Digital Direct Subsidiarity Democracy on November 23, 2019 at 7:20 pm

    And human said: Let there be god.



  44. Sercil on November 23, 2019 at 7:23 pm

    "A human can only watch 24 hours of youtube per day at maximum"
    Me: You underestimate my power.
    (starts opening additional tabs)



  45. 3rdman on November 23, 2019 at 7:30 pm

    These are just really basic things that engineers have been doing for decades using MatLab. Really there is nothing new in these "new fields" called "machine-learning" and "data science". Just somewhat larger data-sets, somewhat faster machines, and a few new softwares that makes the job easier (mainly in the business domain), and a whole new mass of people who are called "data-scientists" or "data-analysts" or whatever.
    Also I don’t understand why this is called "artificial intelligence". These optimisation works fundamentally and utterly have nothing to do with what people define as "artificial intelligence", or whatever the paranoid ideas that people have about machines taking over the world or whatever.



  46. Randall Ledbetter on November 23, 2019 at 7:31 pm

    At 2:30 my eyeballs rolled back in my head and I collapsed, falling backward out of my chair due to total confusion and non understanding of said material. Takes me back to my school days.



  47. Brett Bourg on November 23, 2019 at 7:33 pm

    humans are incredible



  48. Dav Vez on November 23, 2019 at 7:33 pm

    gonna try to create artificial intelligence using a geometric language in many dimension where the number of angle is our 2d equivalent of that language allowing higher and more complex coding and maybe even self aware artificial intelligence



  49. Akshay Dhande on November 23, 2019 at 7:36 pm

    Thank you, for thanking gamers for demanding higher frame rates. I knew we would fit in somewhere 🙂



  50. Jack Baxter on November 23, 2019 at 7:39 pm

    As a newcomer to Machine Learning this was a great overview. Thank you!