article thumbnail

AI 101: A beginner’s guide to the basics of artificial intelligence

Dataconomy

Undetectable backdoors can be implemented in any ML algorithm Machine learning Machine learning is a subfield of artificial intelligence that focuses on the development of algorithms and models that can learn from data and make predictions or decisions.

article thumbnail

How to tackle lack of data: an overview on transfer learning

Data Science Blog

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves. That is, is giving supervision to adjust via.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Counting shots, making strides: Zero, one and few-shot learning unleashed 

Data Science Dojo

Zero-shot, one-shot, and few-shot learning are redefining how machines adapt and learn, promising a future where adaptability and generalization reach unprecedented levels. Source: Photo by Hal Gatewood on Unsplash In this exploration, we navigate from the basics of supervised learning to the forefront of adaptive models.

article thumbnail

Find Your AI Solutions at the ODSC West AI Expo

ODSC - Open Data Science

The platform makes it easy to create and manage feature engineering pipelines, which can save time and improve the accuracy of machine learning models. Outerbounds Founded in 2016, Outerbounds is a company that provides a platform for building and managing anomaly detection models.

article thumbnail

Data Science Dojo - Untitled Article

Data Science Dojo

Zero-shot, one-shot, and few-shot learning are redefining how machines adapt and learn, promising a future where adaptability and generalization reach unprecedented levels. Source: Photo by Hal Gatewood on Unsplash In this exploration, we navigate from the basics of supervised learning to the forefront of adaptive models.

article thumbnail

Foundation models: a guide

Snorkel AI

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. What is self-supervised learning? Self-supervised learning is a kind of machine learning that creates labels directly from the input data. Find out in the guide below.

article thumbnail

Explosion in 2017: Our Year in Review

Explosion

We founded Explosion in October 2016, so this was our first full calendar year in operation. In August 2016, Ines wrote a post on how AI developers could benefit from better tooling and more careful attention to interaction design. We set ourselves ambitious goals this year, and we’re very happy with how we achieved them.