Over the past year I’ve reviewed half a dozen open source machine learning and/or deep learning frameworks: Caffe, Microsoft Cognitive Toolkit (aka CNTK 2), MXNet, Scikit-learn, Spark MLlib, and ...

The Scikit-learn Python framework has a wide selection of robust machine learning algorithms, but no deep learning. If you’re a Python fan, Scikit-learn may well be the best option for you among ...

The best parallel processing libraries for Python. Ray: Parallelizes and distributes AI and machine learning workloads across CPUs, machines, and GPUs.; Dask: Parallelizes Python data science ...

At Cloud Next 2019, Google announced the launch of AI Platform, a comprehensive machine learning service for developers and data scientists. Google has many investments in the space of machine ...

Setting Up a Machine Learning Environment on Linux. To begin AI/ML development on Linux, follow these steps: Choose a Linux Distribution: Ubuntu, Debian, Fedora, and Arch Linux are popular choices for ...