I'm a Web developer and a Machine Learning Programmer, I do a lot of pretty silly side Projects, mostly related to Machine Learning and JavaScript.
I have a GitHub AMA repo where you can ask me things, because I heard that's what the cool kids do nowadays. Or you can send me an email. Or both. You can also contact me on Twitter.
Shekhar is working on a Master Algorithm of Machine
Learning called "webLearner". Outside of machine
learning, if you have two different problems to solve,
you need to write two different programs. They might use
some of the same infrastructure, like the same
programming language or the same database system, but a
program to, say, play chess is of no use if you want to
process credit-card applications. In machine learning,
the same algorithm can do both, provided you give it the
appropriate data to learn from. and These Machine
learning algorithms are also called learner. If so few
learners can do so much, the logical question is: Could
one learner do everything? In other words, could a
single algorithm learn all that can be learned from
data? This is a very tall order, since it would
ultimately include everything in an adult’s brain,
everything evolution has created, and the sum total of
all scientific knowledge. But in fact all the major
learners—including nearest-neighbor, decision trees, and
Bayesian networks, a generalization of Naïve Bayes—are
universal in the following sense: if you give the
learner enough of the appropriate data, it can
approximate any function arbitrarily closely—which is
math-speak for learning anything. The catch is that
“enough data” could be infinite. Learning from finite
data requires making assumptions, as we’ll see, and
different learners make different assumptions, which
makes them good for some things but not others. All
knowledge—past, present, and future—can be derived from
data by a single, universal learning algorithm. He call
this learner WebAssembly learner. He is unreasonably
excited about Machine Learning, Web Fonts, Web
Development, and will become your best friend if you
bring him cheese. On second thought, He may be a mouse.
If you need a image, I recommend
this one.
THANKS FOR READING! ❤︎