How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
Get recipes for installing development tools and libraries on various platforms for the Python library.
Deep neural networks are capable of amazing levels of representation power resulting in state-of-the-art accuracy in areas such as computer vision, speech recognition, natural language processing,
This article discusses an unsupervised machine-learning algorithm called K-means that can be used to solve the data problems.
Learn about best usage for the Intel® Distribution for Python*, installing and setting up, intro to machine learning with examples.
Improving the Performance of Principal Component Analysis with Intel® Data Analytics Acceleration LibraryThis article discusses an unsupervised machine-learning algorithm called principal component analysis (PCA) that can be used to simplify the data. It also describes how Intel® Data Analytics Acceleration Library (Intel® DAAL) helps optimize this algorithm to improve the performance when running it on systems equipped with Intel® Xeon® processors.
PyCon is the largest annual gathering for developers of the Python programming language. Intel is a diamond sponsor with workshops, a booth and demos.
This article describes a common type of regression analysis called linear regression and how the Intel® Data Analytics Acceleration Library helps optimize this algorithm on Intel® Xeon® processors.