Apache Zeppelin* is a new web-based notebook that enables data-driven, interactive data analytics, and visualization with the added bonus of supporting multiple languages, including Python*, Scala*, Spark SQL, Hive*, Shell, and Markdown. Zeppelin also provides Apache Spark* integration by default, making use of Spark’s fast in-memory, distributed, data processing engine to accomplish data science...
The dramatic reduction in whole human genome sequencing costs, from USD 100 million per genome in 2001 to USD 4,500 per genome in 2014, combined with the increasing performance gains in computing t
Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
This paper show how to replicate the proof point, to index DICOM images for storage, management, and retrieval on a Cloudera Hadoop* cluster, using open source software components.
Python* is a popular open-source scripting language known for its easy-to-learn syntax and active developer community.
How to Install the Python* Version of Intel® Data Analytics Acceleration Library (Intel® DAAL) in Linux*The Intel® Data Analytics Acceleration Library (Intel® DAAL) 1, 2 is a software solution for data analytics. It provides building blocks for data preprocessing, transformation, modeling, predicting, and so on.
Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is available free” from the Intel Parallel Studio XE suites.
With partners ElectriCChain, SolarCoin, Solcrypto, Bitseed, IOTA, and RWE, the first Chain of Things Case Study Event focused on the secure logging of solar energy production data to a distributed blockchain ledger. Through multiple case studies, Chain of Things will develop a clearer picture of what an optimal IoT+blockchain stack should include and will determine if blockchain technology...
Using Intel® Data Analytics Acceleration Library to Improve the Performance of Naïve Bayes Algorithm in Python*This article discusses machine learning and describes a machine learning method/algorithm called Naïve Bayes (NB) . It also describes how to use Intel® Data Analytics Acceleration Library (Intel® DAAL)  to improve the performance of an NB algorithm.
How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.