Disease prediction using the world’s largest clinical lab data set
Cristian Capdevila explains how Prognos is predicting disease.
Jupyter
Beyond interactive: Scaling impact with notebooks at Netflix
Michelle Ufford shares how Netflix leverages notebooks today and describes a brief vision for the future.
Machine learning and AI technologies and platforms at AWS
Dan Romuald Mbanga walks through the ecosystem around the machine learning platform and API services at AWS.
Jupyter in the enterprise
Luciano Resende explores some of the open source initiatives IBM is leading in the Jupyter ecosystem.
What to expect at the JupyterCon 2018 Business Summit
One of our goals is to bring Jupyter’s enterprise use cases and practices into one place.
The Intertwingularity is near: When humans transcend print media
Both reproducible science and open source are necessary for collaboration at scale—the nexus for that intermingling is Jupyter.
Jupyter is where humans and data science intersect
Discover how data-driven organizations are using Jupyter to analyze data, share insights, and foster practices for dynamic, reproducible data science.
Jupyter Pop-up coming to Boston on March 21
Attend a day-long exploration of Jupyter's best practices and practical use cases in business and industry.
Three movements driving enterprise adoption of Jupyter
William Merchan shares fundamental trends driving the adoption of Jupyter and its deployment in large organizations.
Jupyter and Anaconda: Shaking up the enterprise
Peter Wang talks about the co-evolution of Jupyter and Anaconda and looks at what’s needed to sustain an open and innovative future.
Jupyter Insights: Lorena Barba, an associate professor of mechanical and aerospace engineering
Jupyter in education, Jupyter-in-the-loop, and reproducibility in science.
How can I add simple, automated data visualizations and dashboards to Jupyter Notebooks
Learn how to use PixieDust in Jupyter Notebooks to create quick, easy, and powerful visualizations for exploring your data.
Jupyter Insights: Marius Tulbure, a developer and JavaScript enthusiast at Figshare
Jupyter for sharing and prototyping, Jupyter in academia, and FAIR principles.
Jupyter Insights: Paco Nathan, leader of the Learning Group at O’Reilly Media
Giving context to code, human-in-the-loop design pattern, and collaborative documents.
Jupyter Insights: Andreas Mueller, a lecturer at the Data Science Institute at Columbia University
Approaches to data analysis, iterative workflows, and writing a book with Jupyter.
Jupyter Insights: Tim Gasper, director of product and marketing at Bitfusion
Getting started with data science, Jupyter as shareable hub, and JupyterLab adoption.
Jupyter Digest: 30 May 2017
Script generation from RNNs, Tensorflow book companion notebooks, transportation insights from notebooks, machine learning notebooks.
Jupyter Insights: Carol Willing, director of the Python Software Foundation
Jupyter as a learning tool, the JupyterHub Project, and Music21.
JupyterLab: The evolution of the Jupyter web interface
Project Jupyter co-founder Brian Granger on the JupyterLab project, its potential role in scientific and tech communities, and the expanding role of notebooks.
Jupyter Digest: 22 May 2017
TensorFlow cookbook materials, source notebooks, Python lectures, and Software Carpentry.
Jupyter Digest: 15 May 2017
TSFRESH, 100 days of algorithms, how JupyterHub tamed big science, colorizing photos.
Jupyter Digest: 8 May 2017
Opinionated Docker stacks, Jupyter Themes, Jupyter in the bank, and Zuckerberg's man in the lab.
Jupyter Digest: 1 May 2017
JupyterDay Philly, Harmonics deep dive, Jupyter building blocks, and autoencoded Pokémon.
Jupyter Digest: 24 April 2017
Python cheat sheet, open source DL guide, Keen IO, and digital signal processing.