Introduction to Python Accelerated Data Science with RAPIDS

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RAPIDS is a suite of software tools that accelerates data science workflows. Built to integrate with Python, it harnesses the parallel processing power of graphics processing units (GPUs). Like having thousands of tiny processors working simultaneously, GPUs enable much faster data processing. RAPIDS essentially acts as a turbocharger for data science projects. 

Applied Data Science Tapas knowledge capsules provide comprehensive educational content spanning multiple domains: from foundational data science principles and methodologies, through advanced machine learning techniques and algorithms, to cutting-edge Deep Learning applications in Artificial Intelligence. These capsules are designed to bridge theoretical concepts with practical implementations, offering insights into both established practices and emerging trends in the field of computational data analysis.

SERIES:  Data Science Tapas
Where: REGISTER for Zoom link  Weaver Science & Engineering Library Room 212 and Zoom
Instructor: Devin Bayly
YouTube: UArizona DataLab

Workshop Sessions:

• 2/05 Introduction to Python for Data Science
• 2/19 Introduction to Machine Learning Algorithms
• 3/05 Introduction to Visualization: Theory and Practice
• 3/19 Introduction to Deep Learning for Healthcare
• 4/02 Introduction to Speech to text with Whisper AI
• 4/16 Introduction to Python Accelerated Data Science with RAPIDS

Register