Machine learning (ML) allows us to teach computers to make predictions and decisions based on data and learn from experiences. In recent years, incredible optimizations have been made to machine learning algorithms, software frameworks, and embedded hardware. Thanks to this, running deep neural networks and other complex machine learning algorithms is possible on low-power devices like microcontrollers.
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Introduction to Embedded Machine Learning
Edge ImpulseAbout this Course
Some math (reading plots, arithmetic, and algebra) is required in the course. Recommended to have experience with embedded systems (e.g. Arduino).
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
The basics of a machine learning system
How to deploy a machine learning model to a microcontroller
How to use machine learning to make decisions and predictions in an embedded system
Skills you will gain
- Arduino
- Machine Learning
- Embedded System Design
- Microcontroller
- Computer Programming
Some math (reading plots, arithmetic, and algebra) is required in the course. Recommended to have experience with embedded systems (e.g. Arduino).
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Introduction to Machine Learning
Introduction to Neural Networks
Audio classification and Keyword Spotting
Reviews
- 5 stars82.28%
- 4 stars15.94%
- 3 stars1.57%
- 1 star0.19%
TOP REVIEWS FROM INTRODUCTION TO EMBEDDED MACHINE LEARNING
Thanks for detailed and well introduced topics, I enjoyed this course. I had prior knowledge in neural networks but this course was awsome for introducting ML for microcontrollers.
Best courser, as we are not just learning about the Embedded ML, as we also learn the fundamentals of ML.
As everybody says they go at a really fast pace, I had to watch like three times each video, but the content is really good and concise. Thanks to the sponsors and to the teacher
i like the way course is designed.
i tried all project explained in course without re-viewing cource material.
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