Hi,
My name is Daniel Pyrathon. I am currently a third year BSc student in
Computer Science at the University of Plymouth.
Since my placement year I have been very interested in machine
learning and AI in general. This has led me to self-learn some of the
main models such as: Neural Networks (MLP, RBM), Naive Bayes
classifiers, Genetic Algorithms, and I am currently learning RBMs
because of my interest in deep learning. I love programming and I have
always been active in the Open Source community (especially Python).
In the past years I have attended the last 3 EuroPython conferences
and I have been a staff member of the conference for the last 2 years.
I am currently using Scikit (together with other libraries) for my
dissertation project: a real-time Twitter sentiment analysis
classifier. As my application is written in HTML5 and JS, I connect to
Scikit using a RESTful API. The API I had built was so generic, it was
then reused with other projects.
The idea that has come out of this experience is to build a Machine
Learning SaaS.
The SaaS would be composed of:
- A Docker image, deployable in one command. This will allow any
developer who has an lxc compatible system to install and use Scikit
in an isolated environment. As Docker containers are entirely
isolated, this gives freedom to the programmer to update and deploy
without having to think about the other components of his/her
application.
- A RESTful interface on top of Scikit, providing one universal way
for programmers to train, test, and evaluate multiple machine learning
techniques. This makes it very simple for programmers to integrate
machine learning algorithms with existing components of their stack
and scale massively.
I have already pitched this idea to the Shogun community, and I am
getting a lot of very interesting feedback. I would also like the
Scikit community to let me know if they would be interested in this
too, and give me possible suggestions.
Thanks,
Daniel Pyrathon
--
*************
PirosB3
https://github.com/PirosB3 <http://pirosb3.com>
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