Fast.ai

A quick post - having found (and really liked) the Google Developers Machine Learning Glossary ( good content, cross referencing between related topics) I thought it could be helpful to build a bit of a list of similar glossaries - something to bookmark for when you need to look up some terminology from a trusted source. Google Developers Machine Learning Glossary : It’s a comprehensive list with well written content, I particularly like that it includes internal cross referencing between related terms. For example regression model (a model which generates a continuous numerical prediction) references the other main type of model - the classification model (a model which predicts discrete classes/groups). Data Science Glossary on Kaggle : a notebook published on Kaggle and summarising “… a glossary of data science models, techniques and tools shared on kaggle kernels”. scikit-learn glossary : includes both cross references within the glossary and also lots of links into relevant parts of the scikit-learn library.

Building your own machine learning systems! You might want to better understand what’s going on, you might have data security requirements that mean you can build models on your own data while keeping everything in-house, you might want to compete in Kaggle Competitions or you just might want to nerd out in this space. You’ve may have played with stand-alone Generative AI services like OpenAI’s ChatGPT and Google’s Bard. Perhaps you’ve started using integrated services like Bing Chat while you search, Github Copilot while you code, you may even be on an enterprise Microsoft Office license and using Office Copilot (at the time of writing not available to consumer or education licenses). ...