- Digital Signal Processing
- Computer Programming
- Data Ethics
- Deep Learning
- Data Analysis
- Model Deployment
- Embedded Software
- Embedded Systems
- Feature Engineering
- Artificial Neural Networks
- Data Preprocessing
- Artificial Intelligence and Machine Learning (AI/ML)
Introduction to Embedded Machine Learning
Completed by Rajenthiran Sugaventhira
November 27, 2024
17 hours (approximately)
Rajenthiran Sugaventhira'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
