by Ben Epstein | Jan 11, 2023 | Uncategorized
Book description Machine learning has accelerated in several industries recently, enabling companies to automate decisions and act based on predicted futures. In time, nearly all major industries will embed ML into the core of their businesses, but right now the gap...
by Superwise | Jan 9, 2023 | Uncategorized
Due to the increased usage of ML-based products within organizations, a new CI/CD like paradigm is on the rise. On top of testing your code, building a package, and continuously deploying it, we must now incorporate CT (continuous training) that can be stochastically...
by Modzy | Jan 6, 2023 | Uncategorized
There are many different types of hardware that can accelerate ML computations – CPUs, GPUs, TPUs, FPGAs, ASICs, and more. Learn more about the different types, when to use them, and how they can be used to speed up ML inference and the performance of ML...
by Arize AI | Jan 4, 2023 | Uncategorized
As Machine Learning infrastructure has matured, the need for model monitoring has surged. Unfortunately this growing demand has not led to a foolproof playbook that explains to teams how to measure their model’s performance. Performance analysis of production models...
by TruEra | Jan 2, 2023 | Uncategorized
Motivation In the United States since 2000, an average of 70,072 wildfires burned an average of seven million acres per year. This rate doubles the average annual acreage burned in the 1990s (3.3 million acres). In just 2021, nearly 6,000 structures burned, sixty...
by Pachyderm AI | Dec 28, 2022 | Uncategorized
Data-centric AI marks a dramatic shift from how we’ve done AI over the last decade. Instead of solving challenges with better algorithms, we focus on systematically engineering our data to get better and better predictions. But how does that work in the real world?...
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