How to build good AI solutions when data is scarce : data-efficient AI techniques are emerging, and that means you don't always need large volumes of labeled data to train AI systems based on neural networks /

How to build good AI solutions when data is scarce : data-efficient AI techniques are emerging, and that means you don't always need large volumes of labeled data to train AI systems based on neural networks / Rama Ramakrishnan.

Developing AI systems based on neural networks can require large volumes of labeled training data, which can be hard to obtain in some settings. New techniques for reducing the number of labeled examples needed to build accurate models are now emerging to address this problem. These approaches encom...

Full description

Saved in:
Bibliographic Details
Online Access: Full Text (via O'Reilly/Safari)
Main Author: Ramakrishnan, Rama (Author)
Format: eBook
Language:English
Published: [Cambridge, Massachusetts] : MIT Sloan Management Review, 2022.
Edition:[First edition].
Subjects:
Artificial intelligence > Industrial applications.
Business intelligence > Data processing.
Management > Data processing.
Artificial intelligence > Industrial applications
Management > Data processing

Internet

Full Text (via O'Reilly/Safari)

Online

Holdings details from Online
Call Number: TA347.A78
TA347.A78 Available

Similar Items