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.

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

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 ...

Front and back cover of Machine Learning Essentials You Always Wanted To Know Dhairya Parikh, author of Machine Learning Essentials You Always Wanted To Know. “Machine Learning Essentials” by Dhairya ...

A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure within the theory of finite groups. By training neural networks to recognise ...