I'm Marty de Boer, and I love working with Python and machine learning. I've been in the data science field for over ten years and enjoy using AI and advanced hardware to solve hard problems. I started with Python because it's simple and easy to learn, and that led me to a career in machine learning models and frameworks. I've helped with many open-source projects and have written a lot about how to make software work better with efficient hardware. Through my work on TensorScience, I want to make these complex ideas easy for more people to understand, so developers and tech fans can use modern technology.

I have practical and hands-on experience beyond academics. I've worked on building AI systems and assessing the latest computational hardware. I enjoy testing how far current technology can go, always looking for new ways to improve AI performance on advanced hardware. I write articles and tutorials to offer practical and useful insights, connecting theoretical knowledge with real-world application. My goal is to make TensorScience a helpful resource for people wanting to learn more about Python, machine learning, and how these technologies work with the supporting hardware.