AI Summary
[DOCUMENT_TYPE: user_assignment]
**What This Document Is**
This document outlines Homework 2 for Carnegie Mellon University’s 10-601 Introduction to Machine Learning course (Spring 2018). It details an assignment focused on building and applying a Decision Tree classifier to binary classification problems.
**Why This Document Matters**
This homework is intended for students enrolled in the 10-601 Machine Learning course. It serves as a practical exercise to reinforce theoretical concepts learned in class and develop end-to-end machine learning system building skills. It’s due February 5th, 2018.
**Common Limitations or Challenges**
This document is a specification of the assignment, not a tutorial. It does not provide solutions, code examples, or detailed explanations of the underlying machine learning concepts. Students are expected to have a foundational understanding of Decision Trees and Information Theory.
**What This Document Provides**
The document includes: a description of the assignment’s objectives, details on collaboration and late submission policies, instructions for submitting work via Gradescope and Autolab, and information about the required software environment. It also specifies the availability of a data tar file for use in completing the assignment.