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.

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 ...

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

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.

Data-driven decision-making has seen a skyrocketing demand in today's world of AI and machine learning (ML) across the industry. These technologies contribute to the evolution of business by ...

Check out these best practices that are designed to help your data preparation initiatives in machine learning.

Data, analytics, machine learning, and AI in healthcare in 2021 What do you get when you juxtapose two of the hottest domains today - AI and healthcare? A peek into the future, potentially.