https://blog.bjdean.id.au/tags/pandas/Recent content in Pandas on Brad's BlogHugo -- 0.152.2en-auBradley DeanSun, 19 Nov 2023 21:44:39 +0000https://blog.bjdean.id.au/2023/11/machine-learning-glossaries/Sun, 19 Nov 2023 21:44:39 +0000https://blog.bjdean.id.au/2023/11/machine-learning-glossaries/<p>A quick post - having found (and really liked) the <a href="https://developers.google.com/machine-learning/glossary">Google Developers Machine Learning Glossary</a> ( 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.</p> <ul> <li><a href="https://developers.google.com/machine-learning/glossary">Google Developers Machine Learning Glossary</a> : It&rsquo;s a comprehensive list with well written content, I particularly like that it includes internal cross referencing between related terms. For example <a href="https://developers.google.com/machine-learning/glossary#regression-model">regression model</a> (a model which generates a continuous numerical prediction) references the other main type of model - the <a href="https://developers.google.com/machine-learning/glossary#classification-model">classification model</a> (a model which predicts discrete classes/groups).</li> <li><a href="https://www.kaggle.com/code/shivamb/data-science-glossary-on-kaggle/notebook">Data Science Glossary on Kaggle</a> : a notebook published on Kaggle and summarising &ldquo;&hellip; a glossary of data science models, techniques and tools shared on kaggle kernels&rdquo;.</li> <li><a href="https://scikit-learn.org/stable/glossary.html">scikit-learn glossary</a> : includes both cross references within the glossary and also lots of links into relevant parts of the scikit-learn library.</li> </ul>