How to Get Started with Machine Learning in Python

Last Updated on August 21, 2019

The Python conference PyCon2014 has held recently and the videos for the conference are online.

I have been working my way through the interesting machine learning ones and will share a few on this over the coming weeks.

A great talk if you are starting out in data science or machine learning in python was given by Melanie Warrick titled How to Get Started with Machine Learning. It’s about 25 minutes long. The abstract of the talk is:

Provide an introduction to machine learning to clarify what it is, what it’s not and how it fits into this picture of all the hot topics around data analytics and big data.

Melanie starts out with a great definition of machine learning, pointing to Arthur Samuel:

Computers…ability to learn without… explicit programming

She positions machine learning as the toolkit used in Artificial Intelligence and Data Science. Relatedly, she describes big data as data beyond the ability of common technology to capture and curate. This definition sits
To finish reading, please visit source site