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MLD Syllabus Fall 2018.pdf updated grading on syllabus Aug 28, 2018 Update Sep 6, 2018


Welcome to the Machine Learning Decal! In this course, you will discover how to analyze and manipulate data in Python, go over (and implement!) fundamental and practical statistical and deep learning learning models, as well as learn how to ask the right questions in order to tackle data-driven problems.

This page, as well as the class Piazza page, will be the primary forms of communication throughout the course. We will be posting all lectures and assignments here as the semester progresses.

Applications are now released and will be due Friday, August 31 at 11:59pm!

Table of Contents

  1. Applications
  2. Syllabus
  3. Calendar
  4. Enrollment
  5. Contact


Applications( are due on Friday, August 31 at 11:59pm!

Before filling this form out, please finish the perquisite worksheet ( We do not require that you are already familiar with this material (and we will not be checking answers), but do expect you to be comfortable looking things up and self learning this material.

Just as a general reminder, please answer these questions as honestly as possible so we can make sure this class is a good fit for you.


Please note that we do not have the administrative capacity for this semester to either accept concurrent enrollment students or waive time conflicts on CalCentral, and that we cannot make exceptions to this.