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.
от партнера


Introduction to Embedded Machine Learning
Edge ImpulseОб этом курсе
Some math (reading plots, arithmetic, and algebra) is required in the course. Recommended to have experience with embedded systems (e.g. Arduino).
Будет ли вашей компании выгодно обучить сотрудников востребованным навыкам?
Попробуйте Coursera для бизнесаЧему вы научитесь
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
Приобретаемые навыки
- 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).
Будет ли вашей компании выгодно обучить сотрудников востребованным навыкам?
Попробуйте Coursera для бизнесаот партнера
Программа курса: что вы изучите
Introduction to Machine Learning
Introduction to Neural Networks
Audio classification and Keyword Spotting
Рецензии
- 5 stars81,87 %
- 4 stars16,25 %
- 3 stars1,66 %
- 1 star0,20 %
Лучшие отзывы о курсе INTRODUCTION TO EMBEDDED MACHINE LEARNING
i like the way course is designed.
i tried all project explained in course without re-viewing cource material.
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.
wonderful course for those who wish to begin their machine learning / embedded device journey.
Highly recommended
The videos and supplemental materials were well-presented and very useful. The hands-on projects were the best for learning practical use of the concepts.
Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оплатив сертификацию?
Можно ли получить финансовую помощь?
Do I need to buy hardware to take this course?
What prior knowledge do I need?
Остались вопросы? Посетите Центр поддержки учащихся.