- Digital Signal Processing
- Convolutional Neural Networks
- Computer Programming
- Model Evaluation
- Artificial Intelligence and Machine Learning (AI/ML)
- Data Ethics
- Data Analysis
- Applied Machine Learning
- Artificial Neural Networks
- Embedded Systems
- Deep Learning
- Data Preprocessing
Introduction to Embedded Machine Learning
Completed by MARTIN LEO MANICKAM J
June 8, 2021
17 hours (approximately)
MARTIN LEO MANICKAM J'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
