Accelerated Machine Learning and Deep Learning with Intel

During this workshop, we will showcase how to accelerate your classical Machine Learning and Deep Learning workloads on Intel architecture. We will present the Intel optimizations of commonly used data science libraries such as Pandas, classical Machine Learning libraries such as Scikit-learn and XGBoost and of course, the optimizations of Deep Learning libraries such as Tensorflow and PyTorch. We will also discuss various topics regarding hyperparameter optimization, AI on HPC system, inference optimization with OpenVINO library and compression techniques using Intel Neural Compressor.