Harvard University · edX
Fundamentals of TinyML
4.567 ratingsFocusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
Overview
This course introduces three main types of partial differential equations: diffusion, elliptic, and hyperbolic. It includes mathematical tools, real-world examples and applications.
Skills you'll practise
Advantages and disadvantages
Advantages
- The real MIT course: lecture notes, problem sets and exams, often with solutions.
- Free, with no sign-up or deadlines.
- Taught by Massachusetts Institute of Technology, one of the strongest names in its field.
- Completely free.
- Self-paced: start any time.
Disadvantages
- No certificate, no grading and no forum: you need to be self-driven.
- Many courses are recordings of past semesters and some have notes only, no videos.
- No certificate.
Some points apply to every course of this kind; see how we rank.
Free to learn
- Free: All the materials are free to use, with no sign-up. MIT OpenCourseWare gives no certificate.
Taught by
- Prof. Jared Speck
Massachusetts Institute of Technology is in Tier 1: world-leading universities and India's top institutes of our institution ranking (98/100). OpenCourseWare is the gold standard for free university material.
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