by Fennel | Jul 25, 2023 | Uncategorized
The way ML features are typically written for NLP, vision, and some other domains is very different from the way they are written for recommendation systems. In this series, we’ll examine the most common ways of engineering features for recommendation systems. In the...
by Fennel | Jun 27, 2023 | Uncategorized
Introduction Fraud detection is critical in keeping remediating fraud and services safe and functional. First and foremost, it helps to protect businesses and individuals from financial loss. By identifying potential instances of fraud, companies can take steps to...
by Fennel | May 25, 2023 | Uncategorized
A very powerful trend is playing out right now — more and more top tech companies are making a larger part of their machine learning as realtime as possible. So much so that many are skipping the offline phase [1] and directly starting with realtime ML systems. More...
by Fennel | May 4, 2023 | Uncategorized
Realtime machine learning is on the rise, and as companies start introducing realtime into their ML pipelines, they are finding themselves having to weigh the trade-offs between performance, cost, and infrastructure complexity, and determine which to prioritize. In...
by Fennel | Apr 4, 2023 | Uncategorized
Realtime machine learning relies on models, and models are only as good as the data they are built upon. One of the biggest challenges in machine learning is keeping data up-to-date and accurate, and transforming it in a way that the model can ingest it. In most...
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