Machine Learning as a Service – Anand Chitipothu

This talk is about creating a simple end interface for running your machine learning code.

Anand is the co-founder of a Platform-as-a-Service,
designed for data scientists, for running machine learning code.

Machine learning libraries that were mentioned that I had not come across before:

PyTorch – – a deep learning framework for fast, flexible experimentation.

joblib – – is a set of tools to provide lightweight pipelining in Python.

The Rorodata firefly tool creates a RESTful API for your client defined functions.

The config format is YAML and not unlike defining a Bitbucket pipeline.

The end user only needs to a Python function, define API with firefly, deploy and an endpoint on the paas is created.

You can add further system requirements to the runtimes available in rorodata.

It also supports configuring CORs domains.

You can define the size and scale of platform your code will be run against.

You can also use the power of rorodata on your own servers or cloud infrastructure using NB: size/scale config are not available but otherwise can use the same code.

PyCon UK 2018

I am lucky enough to be back at PyCon UK again this year,  Lots of talks, workshops and there are sprints to follow.  One of the most inclusive and friendly technical conferences I have ever attended, I am glad to be back again this year.  I will be adding write ups for the sessions I attend here:

Is it Shakespeare?

Using Python for authorship attribution in Renaissance drama

A lecturer, Paul Brown, and a student, Katie Jones, present their exploration of analysing old plays in an automated fashion.

The period of interest there are at least a 1/3 of which the authorship is unknown.

A source of early plays online is the Early Book Online tool,

Not common to use their approach to examine the full canon of work.  They turned to Python to look at the treatment of whore and prostitutes during the time period.


PyCon UK 2017

Yay. I have made it to PyCon UK again this year.

I’m starting on day 2 this year but still glad to be here.

As usual the friendly Python community are making everyone feel welcome.

I shall be posting notes and tips I pick up over the next few days.

Visit the conference site for more information about PyConUK.

Look out for the video uploads of the talks post conference too.