- Data Ethics
- Embedded Software
- Digital Signal Processing
- Artificial Intelligence and Machine Learning (AI/ML)
- Embedded Systems
- Applied Machine Learning
- Convolutional Neural Networks
- Data Preprocessing
- Artificial Neural Networks
- Computer Programming
- Model Deployment
- Data Analysis
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
