Analytics Data Science Machine-Learning Performance Scientific Libraries (Numpy/Pandas/SciKit/...)
See in schedule Download SlidesIn this session, we will first have a quick overview of Intel's rich software offering for your HPC and AI needs. We will then explore deeper with hands-on exercises, how we take the performance of key Python packages such as numpy, numba and scikit-learn to the next level thanks to performance libraries like the Intel® Data Analytics and Acceleration Library (Intel® DAAL) and the Intel® Math Kernel Library (Intel® MKL).
Type: Training (180 mins); Python level: Beginner; Domain level: Beginner
Shailen is an AI specialist at Intel. He is the link between the core software engineering team and Intel's end-customers. In his role, Shailen assists and trains customers on adopting the latest and greatest optimized machine-learning and deep-learning frameworks in their software development process. Shailen holds a Master’s degree in Computational Science and Engineering from the Technical University of Munich.
Shailen plays the piano and is an avid football player.
