Calling all Python* developers focused on AI and machine learning: Advance your Python coding skills; achieve highly efficient multithreading, vectorization and memory management; and scale scientific computations across a cluster using the optimized packages found in Intel® Distribution for Python*.

In this session, learn how to:

  • Achieve drop-in, end-to-end acceleration for your AI and data science pipelines
  • Seamlessly scale pandas workflows across multi-node dataframes
  • Increase machine learning model accuracy and performance with Intel®-optimized scikit-learn* algorithms and XGBoost

Skill level: intermediate to advanced

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This webinar uses familiar Python tools and frameworks available as part of the Intel® AI Analytics Toolkit. Alternatively, you can download stand-alone versions:



Intel® Distribution for Python*

Develop fast, performant Python* code with this set of essential computational packages including NumPy, SciPy, scikit-learn*, and more.
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