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How to learn artificial intelligence Videos

Artificial Intelligence: Machine Learning Introduction

Hello Bayesian Ninjas! A general introduction of machine learning algorithms! happy hunting! The white noise tutorial part was made entirely in MATLAB!

User Comments

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Amazing, I am amazed just hold my breath, paused the video and wrote this comment. Such an lucid explanation on machine learning and the moment in the video around 3 to 3:30 min is so much mind opening that how do we perceive knowledge. It too me the the concept proposed in Vedas and Upnishidas about universe, Brahaman and Maya. Where it says entire universe is manifestation of Brahman and then how we perceive it through our senses creates Maya or I will say a relative knowledge. This has motivated me to further perceive the knoledge of Machine Learning and AI.
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Dear Sir, i have watched ur video. which is v helpful bt i cant solve this queswhich is on this topic... plzzz tel mehow to solve this.. i shall be highly thnkful to u for this.. thnx in advamce. best regards. thnx in advance ques: Consider the two class classification task that consists of the following points: Class C1: [1 1.5] [1 -1.5] Class C2: [-2 2.5] [-2 -2.5] The decision boundary between the two classes using single perceptron is given by:
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Hello Dave, I missed the Matlab example of supervised, unsupervised and reinforcement learning. Did you post already? Thank you for posting this amazing video to introduce Machine learning with a real word examples.
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Wow I learned statistics. Out of 78 dogs I measured in my neighborhood 66% of dogs had bitten me and on that 66% 34% haven't had an injection for anti-rabies.
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At home I use a CAD program to do all kinds of stuff. I want to learn an AI program to do that work for me. Which program should I use for that?
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Hello This is the best explanation so far. I am trying to convince people to apply machine learning in cyber security, This was very helpful.
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You have a misspelling in your title. "IntRoduction". Thanks for the new video! Will watch it in just a moment!
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This has inspired me to really step up my learning! Please continue on uploading new content. Thank you
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This video is really close to what I've been studying. Thanks for the series! I'll be on the lookout.
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I've been waiting for this kind of tutorial,, in machine learning. :) thanks! very well explained..
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glad you're back, always loved your tutorials. very informative as well as entertaining :)
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This is great! Your time/position graph has the speed approaching infinity, though.
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Very nice into! Looking forward to the rest of your vids on this subject.
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the rise of skynet and we are contributing to its birth. thanks Dave.
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I like the way you giggle during talk, I too do the same all time.
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lol..thx! :-/ so glad I went into science, and not the humanities...
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awesome. What program are you using to render the random world?
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did you stop doing this? Please do more about this topic

Lecture - 26 Learning : Decision Trees

Lecture Series on Artificial Intelligence by Prof. P. Dasgupta, Department of Computer Science & Engineering, IIT Kharagpur. For more Courses visit ...

User Comments

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6:45 : Things like "Datamining" comes under Unsupervised Learning. Isn't it a bit too much of a generalization?
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Hi Professor,why 'Thai'need to have 4 options-2 yes and 2 no? Why 'Some' need to have 4 options - all no's?
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Good one for introduction of decision tree learning.. But long one bcz it is like class video
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how four yyyy are there in case of some pls explain.
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love the music and thanks for the great lecture :)
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excellent lecture presentation!!
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video quality is too low
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Thank you cilvrado.
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this is useless
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nice....
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0:45

The Future of Robotics and Artificial Intelligence (Andrew Ng, Stanford University, STAN 2011)

(May 21, 2011) Andrew Ng (Stanford University) is building robots to improve the lives of millions. From autonomous helicopters to robotic perception, Ng's ...

User Comments

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And why dont you answer thats human .. like it or not you are as well? A Flexible Path This is the beginning of a new era in space exploration in which NASA has been challenged to develop systems and capabilities required to explore beyond low-Earth orbit, including destinations such as translunar space, near-Earth asteroids and eventually Mars. NASA will use the International Space Station as a test-bed and stepping stone for the challenging journey ahead. By building upon what we learn there we will prepare astronauts for the challenges of long-duration flight and the permanent expansion of human exploration beyond where we have been before. Explorers may visit near-Earth asteroids where we may get answers to the questions humans have always asked. Visiting an asteroid will provide valuable mission experience and prepare us for the next steps–possibly for the first humans to step on Mars. Robotic exploration continues to deliver profound answers about our Universe by visiting far-off destinations, providing reconnaissance and collecting scientific data. When combining both human and robotic exploration methods we will use technology and our senses to increase our ability to observe, adapt, and uncover new knowledge.
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its melotonin of the mind body AND SOUL.. If in life and in everything there is a way to return it would be that way .. So u must trherefore challenge the existence of 1866
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If you havent got a blue background you havent won or gained any knowledge.. best you start on the drawing board and step on my trip
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do u mean blue background with people on stage.. i passed 10 years ago

Using Artificial Intelligence to Write Self-Modifying/Improving Programs

Watch an artificial intelligent program learn to write its own program to output the word "hi" to the screen. The AI begins with no knowledge about the target ...

User Comments

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Where can I find the basic code to make a AI that learns what I tell it? and can talk?
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yeah thats my plan now
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if you're willing to spend quite a lot of money then everything will be easier to complete. I do not know of anything that is like the AI you mentioned. Maybe the Honda Robot? I am not sure though.
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say if you make a robot, you can use face recognition for it to pick up faces, then ask them what there name is and then store them in a database. if the robot see's these faces again it will know the name of the person and where they are. You can also make it autonomous. Again, everything that i just mentioned can be completed with Python and probably SQL.
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Good enough for me, but does anyone know any AI that does the things I described? (Other than jarvis from Avengers, I don't want any of those jokes)
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+Aman 2272 Raise your IQ with 50 points
https://lh6.googleusercontent.com/-CMbkcdq0c_U/AAAAAAAAAAI/AAAAAAAAAF8/2e2jIe9JAjE/photo.jpg?sz=64
+Aman 2272 Study engeneering
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+Aman 2272 Learn quantum physic to make your PC faster
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+JordanSavageYT What do I do if I want it to Learn complex things? Or learn on it's own?
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+Wagacca if what want it to learn small things and nothing like the brain then you can use variables. Simple. if you want it to remember things even when you close the program and re-open it then you would have to create a database to store the information in and then let it be accessible so the code can retrieve it.
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+otacon1024 hmmm
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+otacon1024 Well then where can I get the advanced code to have an AI learn by itself?
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+BJ Thomas "Basic code" and "AI" don't belong in the same sentence.
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+epicsilverprince wat?
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All we need is a bit of a percentage so the programme can rewrite the operating systems code band make it more efficient, then let the fun begin
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+BJ Thomas You can't. Wait 10-50 years. We can currently only simulate about 1% of the human brain for 1s with the worlds best computer. (simply put)

Study Artificial Intelligence at the University of Groningen

Have you always dreamed of doing a Bachelor's degree in Artificial Intelligence at a top-100 University? The University of Groningen offers 10 Science ...
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