Probabilistic data structures in Python
Use approximations with error bounds to trade-off system resources, e.g., memory or compute time -- especially for large-scale analytics and streaming data.
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Use approximations with error bounds to trade-off system resources, e.g., memory or compute time -- especially for large-scale analytics and streaming data.
The O'Reilly Radar Podcast: Eleanor Saitta on security countermeasures at the human level, the relationship between security and design, and understanding security design as a separate discipline.
Addressing the challenge of delivering big data analytics to the masses.
Techniques to address overfitting, hyperparameter tuning, and model interpretability.
We're looking for design talks that emphasize clarity, value for the audience, and unique perspectives.
Re-create a classic card game in Java using a collection, inheritance, and classes.
Properly organizing information is essential, but it can be hard to know where to start. Learn the fundamental building blocks of a modern information architecture.
Learn to use Pandas to explore a dataset looking for anything that could form the basis for an interesting visualization.
Buddy Brewer, Steve Souders, and Mark Zeman illustrate how identifying and focusing deeply on a few meaningful metrics facilitates far better decision-making.
Including design in every iteration of your cloud-native app development.
Learn the steps you can take to improve availability when it slips.
How to build security in as an essential part of your workflow.