Python for Machine learning

Hi there. Thanks for coming to my session. We are going to look at some of the basics of Machine Learning with a focus on Python.

Today's Abstract

An Introduction to Machine Learning with Python

I don’t need machine learning to predict the outcome of you learning Python for Machine Learning, it will improve your career. In this session we will cover the basics of machine learning, the tools to start working with ML in Python and touch on how to deploy a model with Docker and Apache Flask.

Structure of GitHub

Slides - You will find the latest version of all the slides located here.
Notebooks - All the labs we will run through during this session.

Tools required for today

These labs require tools most Azure developers have on their development machines. They do need to be the latest edition for some of the new features to work.

As a minimum delegates should have:

A laptop.
A modern internet browser.
Anaconda / Python

About the speakers

There are business cards on the desk at the front.

Terry McCann | Principal Consultant - Adatis [Data Platform MVP]

Terry is a principal consultant for adatis delivering some of the most advanced solutions in Azure in the UK. Microsoft Data Platform MVP. Terry holds a Data Science Master's degree, is the organizer of the Data Science Exeter user group, frequent speaker at conferences across the world. He has a particular interest in Machine Learning, DevOps, DataOps and Python. Feel free to ask me about advanced Machine learning deployments.

Be sure to check out his upcoming talks on Machine Learning.

You can contact Terry here: tpm@adatis.co.uk or via @SQLShark on Twitter