Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

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

One of the best ways to reduce your vulnerability to data theft or privacy invasions when using large language model artificial intelligence or machine learning, is to run the model locally. Depending ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

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 ...