Machine learning (ML) is far past being merely a buzz word. It’s matured into a major disruptor, profoundly impacting business and transforming how we interact in the world and with each other.
For software developers, it’s increasingly becoming a major differentiator that leads to the obvious question: How do you increase your machine learning performance?
One way is by using the Intel® Distribution for Python*—a set of accelerated numeric Python packages, including scikit-learn, NumPy, SciPy, and daal4py, all optimized to work in both single and distributed modes.
Join Intel Technical Consulting Engineer David Liu, for an overview of Intel’s Python distribution and daal4py package, including:
- How they can decrease your ML compute time
- Where and when to use daal4py in your ML application
- The new High-Performance Analytics Toolkit (HPAT) feature and how it accelerates getting data into your ML app
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