I have always sought out situations where I think I could learn something interesting. 2021 will not be different. Many of the tings I have learned over the past decade are by Brownian motion and absorption – spend enough time in a community, you will pick up their interests. So I thought it would be a nice thing to learn something in a more structured fashion.
If there is one thing – something not Covid – which has popped up repeatedly in the space around me this year, it is AI and machine learning. Many papers with new neuro tools using deep learning and other ML approaches. That fantastic protein folding study. The Semantic Scholar search enginge’s new amazing TLDR:s of papers. And I attended a very interesting webinar on the possible applications of AI in music (I think it was a Stockholm AI event, but their event calendar is bugging out on me currently, so I can’t verify).
What entices me is the amazing creativity I see in many approaches – there are obviously a wide range of AI applications that I had not been able to imagine.
So I have signed up for two courses, one translated into Swedish – mostly to pick up the Swedish terms if they even exist yet, also because the translation is fantastic – and one in English from Coursera.
My 2020 project was to learn Python. Since I effectively started it in September, I haven’t come that far yet (I am at the NumPy stage), so this will be a continuing project in 2021. Also, I was gifted my friend Benjamin Auffart’s new book on ML in Python, the Artificial Intelligence in Python Cookbook, so I have resources to make this another branch of the AI learning project.