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.

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

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