
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.
First published in 1991 by Wellesley-Cambridge Press, this updated 3rd edition of the book is a useful resource for educators and self-learners alike. It is well organized, covers single variable and multivariable calculus in depth, and is rich with applications. There is also an online Instructor’s Manual and a student Study Guide.
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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.

Harvard University
Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

Harvard University
Learn the concepts and techniques that make up the foundation of data science and machine learning.

Harvard University
An introduction to the intellectual enterprises of computer science and the art of programming.

Harvard University
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

Harvard University
An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

Harvard University
Build a foundation in R and learn how to wrangle, analyze, and visualize data.