Data Science | News, how-tos, features, reviews, and videos
Organizations are hiring data scientists to develop ML models and experiment with AI, but the business impact is lagging for many large enterprises.
Using Quarto with Observable JavaScript is a great solution for R and Python users who want to create more interactive and visually engaging reports.
Free, hosted Observable notebooks provide an interactive experience and lots of open-source Observable JS code you can reuse and learn from. Here's how to get started.
Learn how to make the most of Observable JavaScript and the Observable Plot library, including a step-by-step guide to eight basic data visualization tasks in Plot.
12 capabilities every cloud machine learning platform should provide to support the complete machine learning lifecycle—and which cloud machine learning platforms provide them.
Changing assumptions and ever-changing data mean the work doesn’t end after deploying machine learning models to production. These best practices keep complex models reliable.
Synthetic Data Metrics is an open-source Python library for evaluating model-agnostic tabular data by pitching machine generated data sets against real data sets.
Maybe we don’t need more data, we just need people who understand the data we already have and its value in a business context.
NumPy is known for being fast, but there's always room for improvement. Here's how to use Cython to iterate over NumPy arrays at the speed of C.
Reading Freakonomics awakened his passion for data science. Here's how further education and thoughtful career moves led to becoming a data scientist.