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Tag: machine learning model

Staying On Top of ML Model and Data Drift

A lot of things can go wrong when developing machine learning models. You can use poor quality data, mistake correlation for causation, or overfit your model to the training data, just to name a few. But there are also a Read more…

In Automation We Trust: How to Build an Explainable AI Model

As AI becomes more advanced and complex, the algorithms and logic powering it become less transparent. This lack of clarity can be unnerving for some people. Recent high-profile AI failures illustrate this. For example, Read more…

Kaskada Accelerates ML Workflow with Its Feature Store

There’s a lot of surface area in the typical data science workflow for the purveyors of automation to attack. What moves the needle for the folks at the startup Kaskada is the feature engineering and deployment stage, Read more…

Machine Learning Tool Seeks to Automate Data Science

MIT researchers will report details this week on a "data science machine" billed as being able to automatically derive predictive models from raw data using a "Deep Feature Synthesis" algorithm. The algorithm is said Read more…

The Role of Bias In Big Data: A Slippery Slope

When most people hear the word “bias” they think of gender or racial discrimination or other situations where preconceptions lead to bad decisions. These kinds of biases and bad decisions are common. Tests have sh Read more…

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