LLVM for Data Processing When Apache Spark launched Tungsten, there was a hint of incorporating LLVM into data processing pipeline to make use of modern CPU features and its superb machine code for performance boost. LLVM appears again with Weld, a new code generation project for data analytics. The project claims that Tensorflow, Spark, and Numpy can be accelerated up to 30x with just few operations of Weld! Interestingly, Matei Zaharia is in its contributor list. ETL Starter Kit Extract, Transform, Load (ETL) refers to a process in database usage and especially in data warehousing.

Two eye-catching Machine-Learning libraries, PHP-ML and Skale-ML, written in PHP and Node.js respectively, are found in this week. Is this a sign of the up-coming wide-spread of ML everywhere? Deep Learning Papers by Nam Vu Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled. If you have subscribed this blog, please make sure to change the feed address.

Visualize ML Python package to visualize some processes involved in Machine learning. If you have subscribed this blog, please make sure to change the feed address.