CS 445 Machine Learning
Fall 2020
Week 1 Study Guide
Learning Objectives
Introduction to Machine Learning
- Define machine learning
- Define and identify the key differences between a classification model and a regression model
- Create a multionomial probability distribution from counting occurrences of terms
- Provide/discuss examples of applied machine learning
Python
- Utilize python dictionaries for storing key/value pairs
- Utilize python for loops to iterate through a dictionary
Resources
- IDD Chapter 1 and Sections 3.1 - 3.2
- Lectures Slides
Deliverables
| Topic | Description |
| Reading Quiz 0 | Complete the reading quiz on Canvas by the due date (indicated in Canvas) |
| Sign up for Microsoft Team's | This class will utilize Microsoft Teams for communication and for virtual office hours |
| Configure Programming Environment | You need a laptop configured and ready to use during class next week with all the required software installed. This document contains step by step instructions for using your own laptop (with a virtual amcahine running on it) or one of the comptuer in the labs. There is nothing to submit for this assignment. |
In Progress
| Topic | Description |
| Programming Assignment 0 | Complete programming assignment 0 and submit the appropriate portions to Autolab and Canvas by the due date (next week) |