- Embedded Systems
- Embedded Software
- Applied Machine Learning
- Data Ethics
- Data Analysis
- Feature Engineering
- Artificial Neural Networks
- Artificial Intelligence and Machine Learning (AI/ML)
- Computer Programming
- Model Deployment
- Deep Learning
- Convolutional Neural Networks
Introduction to Embedded Machine Learning
Completed by Saptarshi Chatterjee
April 8, 2021
17 hours (approximately)
Saptarshi Chatterjee'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
