Explaining Your Machine Learning Models with SHAP and LIME! | by David Hundley | Sep, 2020 | Towards Data Science

Hello there all! Welcome back again to another data science quick tip. This particular post is most interesting for me not only because this is the most complex subject we’ve tackled to date, but… — Read on towardsdatascience.com/explaining-your-machine-learning-models-with-shap-and-lime-9da525748e28

Basics of Python and its Library Modules Required for Machine Learning | by Bharath K | Sep, 2020 | Towards Data Science

Python is one of the best programming choices for data science, machine learning, and deep learning. Python presents a wide array of choices for the completion of each task. It is highly accessible… — Read on towardsdatascience.com/basics-of-python-and-its-library-modules-required-for-machine-learning-51c9d26026b8

This know-it-all AI learns by reading the entire web nonstop | MIT Technology Review

Back in July, OpenAI’s latest language model, GPT-3, dazzled with its ability to churn out paragraphs that look as if they could have been written by a human. People started showing off how GPT-3 could also autocomplete code or fill in blanks in spreadsheets. In one example, Twitter employee Paul Katsen tweeted “the spreadsheet function…Continue reading “This know-it-all AI learns by reading the entire web nonstop | MIT Technology Review”

Deep learning-based diatom taxonomy on virtual slides | Scientific Reports

Deep convolutional neural networks are emerging as the state of the art method for supervised classification of images also in the context of taxonomic identification. Different morphologies and imaging technologies applied across organismal groups lead to highly specific image domains, which need customization of deep learning solutions. Here we provide an example using deep convolutionalContinue reading “Deep learning-based diatom taxonomy on virtual slides | Scientific Reports”