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README.md: Trivial typo fix #2

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README.md: Trivial typo fix #2

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Expand Up @@ -33,7 +33,7 @@ The YouTube videos in this repository are shared via the standard YouTube licens
Much of the material found in this repository is curated from a collection of online courses with permission from the original creators. You are welcome to take the courses (as professional development) to learn the material in a guided fashion or refer students to the courses for additional learning opportunities.

* [Introduction to Embedded Machine Learning](https://www.coursera.org/learn/introduction-to-embedded-machine-learning) - Coursera course by Edge Impulse that introduces neural networks and deep learning concepts and applies them to embedded systems. Hands-on projects rely on training and deploying machine learning models with Edge Impulse. Free with optional paid certificate.
* [Copmuter Vision with Embedded Machine Learning](https://www.coursera.org/learn/computer-vision-with-embedded-machine-learning) - Follow-on Coursera course that covers image classification and object detection using convolutional neural networks. Hands-on projects rely on training and deploying models with Edge Impulse. Free with optional paid certificate.
* [Computer Vision with Embedded Machine Learning](https://www.coursera.org/learn/computer-vision-with-embedded-machine-learning) - Follow-on Coursera course that covers image classification and object detection using convolutional neural networks. Hands-on projects rely on training and deploying models with Edge Impulse. Free with optional paid certificate.
* [Tiny Machine Learing (TinyML)](https://www.edx.org/professional-certificate/harvardx-tiny-machine-learning) - EdX course by [Vijay Janapa Reddi](https://scholar.harvard.edu/vijay-janapa-reddi), [Laurence Moroney](https://laurencemoroney.com/), [Pete Warden](https://petewarden.com/), and [Lara Suzuki](https://larissasuzuki.com/). Hands-on projects rely on Python code in Google Colab to train and deploy models to embedded systems with TensorFlow Lite for Microcontrollers. Paid course.

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