In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

While the open-source Seismometer tool does not provide ROI metrics, it can surface insights on an algorithm's quality and utility, say early users at Michigan Medicine.

Automate notifications and streamline workflows with Cloud Code hooks. Learn how to save time and boost productivity with this powerful tool.

Google Colab is a really handy tool for anyone working with machine learning and data stuff. It’s free, it runs in the cloud, and it lets you use Python without a lot of fuss. Whether you’re just ...

Azure Machine Learning integrates with other Azure services and supports popular open-source frameworks, making it a versatile and powerful tool for ML projects. With Azure Machine Learning, users can ...

JupyterLab provides a robust platform for machine learning and data analysis, combining the flexibility of an interactive notebook with the power of Python libraries. Whether you're building simple ...

It is challenging to learn machine learning. For me, great examples for common workflows are crtical. So I built out over 20 well-documented demonstration workflows that apply machine learning to ...

Next, we implemented a machine learning workflow to simultaneously quantify defensive behaviors during fear expression. To evaluate the efficacy of utilizing DeepLabCut combined with SimBA, we then ...