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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.
Viya’s move to the Azure Marketplace allows enterprise customers to access its tools and features in a pay-as-you-go model, the company said.
Data product capabilities added to the Starburst Enterprise software are targeted at enhancing data management and security while being compliant with cross-border regulations.
Oracle’s MySQL database service supporting mixed analytical, transaction processing, and machine learning workloads is now available on Amazon Web Services.
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.
Update to Google’s open source machine learning platform brings Keras improvements, performance enhancements, and TensorFlow Decision Forests 1.0.
It’s easy to automate the creation of Word documents with Quarto, a free, open-source technical publishing system that works with R, Python, and other programming languages.