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.
This video examines two of the main problems with machine learning, regression, and classification.
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,
Don't get me wrong, I was a quite willing participant with all of this.
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.
This Meetup covers the basic ideas that go into building an end-to-end speech recognition system trained entirely using deep learning techniques.
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
Intel® Distribution for Python 2017 Update 2 accelerates five key areas for impressive performance gains
Intel Corporation is pleased to announce the release of Intel® Distribution for Python* 2017 Update 2, which offers both performance improvements and new features.