Find out what's buzzing this month with the October Top Ten!
November's Top Ten includes direct N-body simulation for Modern Code, creating an IoT pressure sensor, tips to getting started in AI, and a reason to leave the nest this month.
As the leading framework for Distributed ML, the addition of deep learning to the super-popular Spark framework is important, because it allows Spark developers to perform a wide range of data analysis tasks—including data wrangling, interactive queries, and stream processing—within a single framework. Three important features offered by BigDL are rich deep learning support, High Single Node Xeon...
BigDL is a distributed deep learning library for Apache Spark*; with BigDL, users can write their deep learning applications as standard Spark programs, which can directly run on top of existing Sp
April showers bring you Python* code samples, a recap of GDC, machine learning in retail and an update to Intel® Threading Building Blocks. Read on!
Big data and analytics play a central role in today’s smart and connected world, and are continuously driving the convergence of big data, analytics, and machine learning/deep learning. We open sourced BigDL, a distributed deep learning library for Apache Spark*, for the very purpose of uniting the deep learning community and the big data community
This article shares the experience and lessons learned from Intel and JD teams in building a large-scale image feature extraction framework using deep learning on Apache Spark* and BigDL.
Learn to build a face access control solution, get horrified in a haunted high school, and be sure to register for the Intel® HPC Developer Conference this month.