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.

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 ...

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

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

This ebook, based on the latest ZDNet / TechRepublic special feature, examines how advances in AI, visualization and cloud technology are shaping modern data analytics, and how businesses are ...