This page is designed to answer the most common question we receive, "what order should I take your courses in?" Feel free to skip any courses in which you already understand the subject matter. Do not skip courses that contain prerequisites to later courses you want to take.
Many people do not understand that if you know nothing about machine learning and the first thing you try to tackle is word2vec, you WILL NOT succeed. Take your time to learn and strengthen the fundamentals.
See the course descriptions for a more in-depth review of what is contained within each course. This chart mostly explains the dependencies (i.e. why one course will teach you things that are needed in the next)
Deep learning-specific courses are in green, non-deep learning machine learning courses are in blue. All contain techniques that tie into deep learning.
It's very important to note that learning about machine learning is a very nonlinear process. In other words, it's not a matter of learning one subject, then learning the next, and the next, and so on. Sometimes, you might need 2 separate, unrelated courses to provide background for 1. Sometimes 1 course might provide background for 2 different courses. Thus, this linear chart only provides a very rough guideline. For a "graphical" representation, please scroll down to the bottom of this page. You'll be able to drag around each course and see arrows pointing from prerequisite to sequel. Click here to jump down.
Above course leads to bottom course.
Above course can be taken simultaneously with bottom course.
(however, again note that the linear chart is a very rough guideline, the graphical representation is more accurate!)
Check out this draggable graph of courses! This best illustrates the fact that the learning path is nonlinear. Sometimes, the same course will provide background for more than one other course. Sometimes it is the reverse - you'll need 2 or more different topics to prepare you for one. Not surprisingly, this still does not tell the whole story.
Sometimes, not all of a course is relevant to the next. So sometimes a prerequisite covers some useful element of the sequel but the rest of the content is unrelated. Sometimes there is a very strong connection, where the entire prerequisite is critical to success in the sequel. These nuances are described in a lecture that can be found in the appendix of any course: "What order should I take your courses in?"
Note that you can zoom in/out and drag the nodes around.
Just in case you missed it above, you CAN drag the items around and zoom into the graph. Use your mouse!