- Embedded Software
- Artificial Neural Networks
- Data Analysis
- Deep Learning
- Digital Signal Processing
- Applied Machine Learning
- Embedded Systems
- Convolutional Neural Networks
- Computer Programming
- Machine Learning
- Data Ethics
- Artificial Intelligence and Machine Learning (AI/ML)
Introduction to Embedded Machine Learning
Completed by Ravindu Wickramasinghe Madanayake
June 22, 2024
17 hours (approximately)
Ravindu Wickramasinghe Madanayake's account is verified. Coursera certifies their successful completion of Introduction to Embedded Machine Learning
What 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
