Data Science Dojo

DECEMBER 8, 2023

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.

Supervised Learning 346

Supervised Learning Machine Learning Machine Learning Artificial Intelligence 346

Data Science Dojo

DECEMBER 8, 2023

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.

Supervised Learning 195

Supervised Learning Machine Learning Machine Learning Artificial Intelligence 195

Hacker News

MARCH 25, 2022

First described in a 2017 paper from Google, transformers are among the newest and one of the most powerful classes of models invented to date. They’re driving a wave of advances in machine learning some have dubbed transformer AI. Now we see self-attention is a powerful, flexible tool for learning,” he added. “Now

Machine Learning 182

Machine Learning Machine Learning AI AI 182

Explosion

APRIL 1, 2017

Prodigy features many of the ideas and solutions for data collection and supervised learning outlined in this blog post. It’s a cloud-free, downloadable tool and comes with powerful active learning models. Sometimes the unsupervised algorithm will happen to produce the output you want, but other times it won’t.

Supervised Learning 40

Supervised Learning Machine Learning Machine Learning Algorithm 40

Hacker News

MAY 3, 2023

With these fairly complex algorithms often being described as “giant black boxes” in news and media, a demand for clear and accessible resources is surging. Fine-tuning may involve further training the pre-trained model on a smaller, task-specific labeled dataset, using supervised learning.

Supervised Learning 181

Supervised Learning Natural Language Processing AI AI 181

Applied Data Science

MARCH 11, 2022

Then, we will look at three recent research projects that gamified existing algorithms by converting them from single-agent to multi-agent: ?️‍♀️ All the rage was about algorithms for classification. Rahimi and Recht In last year’s ICRL, researchers presented an algorithm that offered a new perspective on PCA: EigenGame.

AI 130

AI AI Data Science Machine Learning 130

Explosion

AUGUST 3, 2017

Why machine learning systems need annotated examples Most AI systems today rely on supervised learning : you provide labelled input and output pairs, and get a program that can perform analogous computation for new data. By definition, you can’t directly control what the process returns.

Supervised Learning 52

Supervised Learning Python Machine Learning Machine Learning 52