In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

How to model a pendulum in Python using Jupyter Notebooks. This video walks through the physics of pendulum motion and shows how to simulate it step by step with clean Python code and clear ...

According to DeepLearning.AI (@DeepLearningAI), a new short course titled 'Jupyter AI: AI Coding in Notebooks' has been launched, taught by Andrew Ng and Brian Granger (@ellisonbg), co-founder of ...

According to @DeepLearningAI, it launched a short course titled Jupyter AI: AI Coding in Notebooks, taught by Andrew Ng and Brian Granger, that trains users to generate code, debug errors, and get ...

Have you ever wondered how some of the most complex AI models or data-driven insights are built without requiring a supercomputer or expensive software? Enter Google Colab, a platform that has become ...

Abstract: Computational notebooks are intended to prioritize the needs of scientists, but little is known about how scientists interact with notebooks, what requirements drive scientists' software ...

Abstract: Ground Penetrating Radar (GPR) data processing is often performed using proprietary, GUI-based software that lacks flexibility for automation, customization, specialization, and integration ...

Your jupyter notebook examples are really handy but I'd like to programmatically create a trainer job from YAML. Could we also examples of jobs that work out of the box? I wanted to play around with ...

These example notebooks are automatically loaded into SageMaker Notebook Instances. They can be accessed by clicking on the SageMaker Examples tab in Jupyter or the SageMaker logo in JupyterLab.

Overview The Jupyter notebook system gives Python users a visual, interactive way to run code, display the results, and share the source with others. But Jupyter notebooks have limited interactivity.