Classifying Iris Flowers with Groovy, Deep Learning, and GraalVM
Offered By: The ASF via YouTube
Course Description
Overview
Explore a data science solution for classifying Iris flowers using Groovy, deep learning neural networks, and GraalVM in this 25-minute conference talk. Discover how Groovy provides a data science environment that combines Python-like simplicity with Java-like syntax and JVM technologies. Learn from Dr. Paul King, VP of Apache Groovy and active open-source contributor, as he demonstrates solving this well-known problem using cutting-edge technologies. Gain insights into leveraging Groovy's capabilities for data science tasks and understand how GraalVM can be utilized for enhanced performance.
Syllabus
Classifying Iris flowers with Groovy, Deep Learning, and GraalVM
Taught by
The ASF
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent