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Artificial Intelligence for Health Metricians

J://Project/Machine-Learning/ML4HM/weather-numeric.csv



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Any questions?

Week 1: Introduction.
- Class 1: What machine learning is.
- Class 2: Lab session on Python.
Before this week: Get the books, set up your computation environment;
During this week’s classes: Learn basics of machine learning and of data analysis in Python;
Outside of this week’s classes:
- Read chapters of course texts (DM 1, ISL 1, 2.1)
- Work through Python Intro homework

Read (and discuss)

What was most surprising thing for you?
DM is about technology, ISL is about tools; is there a difference?
What is training and what is learning?
How do you know a machine is learning?
Are rocks smarter than dogs (as one mean-spirited critic put it)?
What can be missed when deciding what to learn and what to predict, e.g. sales example in ISL?

Software Carpentry Introduction to Python

http://software-carpentry.org/v5/novice/python/index.html

Homework:

Think about “input data”, and your experiences preparing and cleaning it
Find the best "length-two decision list" for weather prediction
Keep thinking about a machine learning project
Read 2+ chapters (DM 2-3, ISL 2.2)