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All Projects → mlberkeley → Machine Learning Decal Spring 2019

mlberkeley / Machine Learning Decal Spring 2019

A 2-unit decal run by [email protected]'s education team

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Machine-Learning-Decal-Spring-2019

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, February 1 at 11:59pm!

Table of Contents

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

Applications

Applications are due on Friday, February 1 at 11:59pm!

Before filling this form out, please finish the perquisite worksheet (https://tinyurl.com/mldprereq). 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.

Enrollment

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.

Contact

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].