Deep learning is a subset of machine learning (ML) that uses neural networks, significant amounts of computing power, and huge datasets to create systems that can learn independently. It can perform ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Many challenging problems in diverse areas such as computer vision, speech recognition, and machine language translation have recently made great progress by using an emerging technology called deep ...

In the video presentation below (courtesy of Yandex) – “Deep Learning: Theory, Algorithms, and Applications” – Naftali Tishby, a computer scientist and neuroscientist from the Hebrew University of ...

We’re seeing a rising number of new books on the mathematics of data science, machine learning, AI and deep learning, which I view as a very positive trend because of the importance for data ...

In a recent essay by Sam Altman, titled “The Intelligence Age,” he paints a picture for the future of AI. He states that with AI, “fixing the climate, establishing a space colony, and the discovery of ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...