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 446

Supervised Learning Machine Learning Machine Learning Artificial Intelligence 446

Dataconomy

JUNE 23, 2017

This article is part of a media partnership with PyData Berlin, a group helping support open-source data science libraries and tools. To learn more about this topic, please consider attending our fourth annual PyData Berlin conference on June 30-July 2, 2017. Miroslav Batchkarov and other experts will be giving talks.

Machine Learning 195

Machine Learning Machine Learning Data Science Natural Language Processing 195

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

Mlearning.ai

AUGUST 6, 2023

To start off my journey in Medium, I will write a post on something which many students and even relatives have asked me: “ How did I end up teaching data science when I had majored in Engineering ?” I also started on my data science journey by attending the Coursera specialization by Andrew Ng —  Deep Learning.

Data Science 52

Data Science Machine Learning Machine Learning ML 52

Applied Data Science

MARCH 11, 2022

In contrast to classification, a supervised learning paradigm, generation is most often done in an unsupervised manner: for example an autoencoder , in the form of a neural network, can capture the statistical properties of a dataset. Both of these computations have a complexity scaling in the cube of the data’s number of features.

AI 130

AI AI Data Science Machine Learning 130

AWS Machine Learning Blog

AUGUST 7, 2023

AWS received about 100 samples of labeled data from the customer, which is a lot less than the 1,000 samples recommended for fine-tuning an LLM in the data science community. Han Man is a Senior Data Science & Machine Learning Manager with AWS Professional Services based in San Diego, CA.

AWS 98

AWS ML ML Data Science 98

Explosion

AUGUST 3, 2017

Data science projects are said to have uneven returns, like start-ups: a minority of projects are very successful, recouping costs for a larger number of failures. You’ll collect more user actions, giving you lots of smaller pieces to learn from, and a much tighter feedback loop between the human and the model.

Supervised Learning 52

Supervised Learning Python Machine Learning Machine Learning 52