Machine learning (ML) allows us to teach computers to make predictions and decisions based on data and learn from experiences. In recent years, incredible optimizations have been made to machine learning algorithms, software frameworks, and embedded hardware. Thanks to this, running deep neural networks and other complex machine learning algorithms is possible on low-power devices like microcontrollers.
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Introduction to Embedded Machine Learning
Impulso EdgeAcerca de este Curso
Some math (reading plots, arithmetic, and algebra) is required in the course. Recommended to have experience with embedded systems (e.g. Arduino).
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Prueba Coursera para negociosQué aprenderás
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
Habilidades que obtendrás
- Arduino
- Machine Learning
- Embedded System Design
- Microcontroller
- Computer Programming
Some math (reading plots, arithmetic, and algebra) is required in the course. Recommended to have experience with embedded systems (e.g. Arduino).
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosOfrecido por
Programa - Qué aprenderás en este curso
Introduction to Machine Learning
Introduction to Neural Networks
Audio classification and Keyword Spotting
Reseñas
- 5 stars81,76 %
- 4 stars16,35 %
- 3 stars1,67 %
- 1 star0,20 %
Principales reseñas sobre INTRODUCTION TO EMBEDDED MACHINE LEARNING
Awesome course for beginners. I don't know how much of my background helped make this awesome, but it is awesome.
This is an excellent course taught by the best Teachers on AI. I enjoyed the course and learnt from scratch about AI, ML, NN and deep learning.
It was a good start for those who do not have prior knowledge on Machine Learning. It was a motivating course.
A really good introduction to Embedded Machine Learning! Shows the basics of machine learning and teaches how to apply it yourself with only the need of your smartphone. Totally recommended!
Preguntas Frecuentes
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¿Hay ayuda económica disponible?
Do I need to buy hardware to take this course?
What prior knowledge do I need?
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