Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Toward Building a Cost-Effective and Robust Machine Learning System

VinAI via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the challenges and solutions for developing cost-effective and robust machine learning systems in this 57-minute seminar by Cuong Nguyen, Assistant Professor at Florida International University. Delve into key strategies for reducing costs in data collection, model training, and evaluation while maintaining high performance. Learn about active learning techniques to optimize data gathering, and discover how continual and transfer learning can minimize model training expenses. Examine the critical role of transferability estimation and model selection in efficiently choosing the best source model for transfer to a target task, enabling ML model development with limited data and computational resources. Gain insights from Nguyen's extensive experience in probabilistic machine learning and artificial intelligence, spanning roles at Amazon Web Services, National University of Singapore, and Cambridge University.

Syllabus

Seminar Series: Toward building a cost-effective and robust machine learning system

Taught by

VinAI

Reviews

Start your review of Toward Building a Cost-Effective and Robust Machine Learning System

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.