Week 1: Data Science Overview and Jupyter Introduction

Lecture Notes

Overview of Probability and Machine Learning. Lecture slides

Lab Class

Introduction to the Jupyter Notebook and Pandas

The notebook for the lab class can be downloaded from here.

To obtain the lab class in ipython notebook, first open the ipython notebook. Then paste the following code into the ipython notebook

import urllib
urllib.urlretrieve('https://raw.githubusercontent.com/SheffieldML/notebook/master/lab_classes/machine_learning/week1.ipynb', 'week1.ipynb')

You should now be able to find the lab class by clicking File->Open on the ipython notebook menu.

Learning Outcomes Week 1

• Understand that machine learning combines data with assumptions to make predictions
• Understand that probability provides a calculus of uncertainty for us to deal with unknowns.

This document last modified Wednesday, 08-Oct-2014 09:35:16 UTC