Description
We will provide an overview on the most known machine learning algorithms for supervised and unsupervised learning. With small example codes we show how to implement such algorithms using the Intel® Distribution for Python*, and which performance benefit can be obtained with minimal effort from the developer perspective.
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17/11/2020, 09:15
- Intel’s Hardware and Software directions for Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL)
- Hardware Accelerated Deep Learning instructions and implementations, DL Boost, VNNI instructions
- oneAPI Tools Framework delivering Intel AI development tools
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17/11/2020, 10:30
- Python Demos with focus on Classical Machine Learning examples and algorithms
- Data Analysis and preparation with Modin -- a new library designed to accelerate Pandas by automatically distributing the computation across all of system's available CPUs