- Applied Machine Learning
- Feature Engineering
- Data Ethics
- Model Evaluation
- Digital Signal Processing
- Deep Learning
- Data Analysis
- Artificial Intelligence and Machine Learning (AI/ML)
- Data Preprocessing
- Convolutional Neural Networks
- Model Deployment
- Artificial Neural Networks
Introduction to Embedded Machine Learning
Completed by Uriel Cedeño Antunez
December 13, 2021
17 hours (approximately)
Uriel Cedeño Antunez'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
