Harvard University
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
Enhance your coding skills along your path to becoming a proficient C programmer with the essential concepts of functions and pointers. Receive instant feedback on your code right within your browser.
What you'll learn
- Break acomplex programming task into a number of functions to which you pass arguments
- Recall how computer memory is organized to store variables and arrays
- Find the address of a variable
- Perform simple pointer arithmetic
Skills you'll practise
Advantages and disadvantages
Advantages
- University courses you can audit for free, with lectures, readings and practice quizzes.
- A verified certificate from the university if you pay for it.
- From Dartmouth College, a well-regarded name.
- Self-paced: start any time.
Disadvantages
- Graded assignments and the certificate need the paid track.
- Audit access can expire a few weeks after the course ends.
- Learning is free, but the certificate costs money.
- Some parts (graded work, certificate) are paid.
Some points apply to every course of this kind; see how we rank.
Free to audit
- Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
- Paid: Graded assignments and the verified certificate (Certificate $99). Audit access may end after the course closes.
Before you start
C Programming: Getting Started For Complete Beginners DART.IMT.C.01 and C Programming: Language Foundations DART.IMT.C.02OR equivalent skills.
Taught by
- Petra Bonfert-TaylorProfessor, Thayer School of Engineering
- Rémi SharrockAssociate Professor, Telecom ParisTech
Dartmouth College is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).
Similar courses
Harvard University
Introduction to Data Science with Python
4.3174 ratingsLearn the concepts and techniques that make up the foundation of data science and machine learning.
Harvard University
CS50's Introduction to Computer Science
An introduction to the intellectual enterprises of computer science and the art of programming.
Harvard University
Data Science: Building Machine Learning Models
4.4133 ratingsBuild a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
Harvard University
CS50's Introduction to Programming with Python
An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.
Harvard University
Data Science: R Basics
4.4273 ratingsBuild a foundation in R and learn how to wrangle, analyze, and visualize data.