Data validation in machine learning plays a critical role in ensuring that data sets adhere to specific project criteria and affirming the effectiveness of prior cleaning and transformation efforts.

But what exactly is dirty data, and why is it such a problem? It’s axiomatic to say that data is the new oil of the digital economy, but this is especially true in fields like machine learning.

Her project, “From Dirty Data to Fair Prediction: Data Preparation Framework for End-to-End Equitable Machine Learning,” targets the data-preparation pipeline as a strategic opportunity for ...

Learn how deep machine learning can improve a new class of applications for making sense of big data. Expert George Lawton offers his take.

Leaders across various industries are turning to machine learning to gain valuable insights and make informed decisions.

Ways to detect a poisoned machine learning dataset The good news is that organizations can take several measures to secure training data, verify dataset integrity and monitor for anomalies to ...