Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Businesses are generating data at a faster pace than ever: 90% of the world’s data was generated within the last two years. The increased data volume is rapidly outpacing our ability to consume it.

Xiangrui Meng of Databricks, a committer on Apache Spark, talks about how to make machine learning easy and scalable with Spark MLlib. Xiangrui has been actively involved in the development of Spark ...

Machine learning is changing the way we do things, and it’s becoming mainstream very quickly. While many factors have contributed to this increase in machine learning, one reason is that it’s becoming ...

Machine learning enables AI to learn and improve without direct programming. AI uses machine learning to analyze vast data sets and identify patterns. Accuracy of AI predictions depends on quality ...

In an X-note, Awni Hannun, of Apple’s ML team, calls the software: “…an efficient machine learning framework specifically designed for Apple silicon (i.e. your laptop!)” The idea is that it ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...