Maria Jose Molina Contreras
I am a passionate biologist, working as a Sr. Data Scientist in Berlin. In my spare time, I love to develop projects that can help people around, especially people who are eager to learn new things in tech. For that reason, I try to develop projects that are beginner-friendly, even with complex topics.
I am an active member in the Python Berlin communities, helping to organize workshops and participating actively in mentoring newcomers (specially, people who are changing from career path) and giving talks in many local communities like PyLadies and also in international conferences. Moreover, I participated in the python documentation translation (English-Spanish) and I am coordinator in the discord channel of "Python en Español".
The Internet of Things has been flourishing for many years, and Python has been playing an important role on the “easy to automate” topic for many devices. One of the challenges for the next generation ML is to think small, you read that right “thinking small”. It’s time to start being able to have mechanisms with super well-trained ML models in small-devices: ML on Microcontrollers. We are going to dive into TinyML and evaluate different setups to interact with sensors on microcontrollers. We will discuss the different hardware options and frameworks to start with, while checking different use cases that TinyML can solve, like: agriculture, conservation, health issues detection, ecology monitoring etc. In this talk, you will learn about Tiny Machine Learning (TinyML), which is an approach that explores machine learning to be deployed in embedded systems that enable run ML on microcontrollers. Lastly, we will discuss real use-cases and a practical case that could be implemented at home