Hello Bayesian Ninjas! A general introduction of machine learning algorithms! happy hunting! The white noise tutorial part was made entirely in MATLAB!
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.
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:
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.
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.
did you stop doing this? Please do more about this topic
Lecture - 26 Learning : Decision Trees
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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 ...
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.
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
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 ...
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.
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.
+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.
+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 ...