YoVDO

Software and Hardware for Sparse Machine Learning

Offered By: ACM SIGPLAN via YouTube

Tags

Machine Learning Courses Artificial Intelligence Courses Algorithm Design Courses Software Engineering Courses Computer Architecture Courses Hardware Acceleration Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the intersection of software and hardware for sparse machine learning in this 18-minute conference talk presented at CTSTA'23. Gain insights into the latest advancements and techniques in developing efficient systems for sparse ML applications. Discover how specialized software and hardware solutions can optimize performance and resource utilization in machine learning models that deal with sparse data structures. Learn about cutting-edge approaches that address the unique challenges of sparse ML, including data representation, computation, and memory management.

Syllabus

[CTSTA'23] Software and Hardware for Sparse ML


Taught by

ACM SIGPLAN

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Artificial Intelligence for Robotics
Stanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent