Data Science Dojo

MAY 27, 2024

A visual representation of discriminative AI – Source: Analytics Vidhya Discriminative modeling, often linked with supervised learning, works on categorizing existing data. Generative AI often operates in unsupervised or semi-supervised learning settings, generating new data points based on patterns learned from existing data.

K-nearest Neighbors 338

K-nearest Neighbors Supervised Learning AI AI 338

Explosion

MAY 17, 2023

A lot of people are building truly new things with Large Language Models (LLMs), like wild interactive fiction experiences that weren’t possible before. But if you’re working on the same sort of Natural Language Processing (NLP) problems that businesses have been trying to solve for a long time, what’s the best way to use them?

Supervised Learning 135

Supervised Learning Natural Language Processing Clustering Machine Learning 135

Snorkel AI

MARCH 1, 2023

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. This process results in generalized models capable of a wide variety of tasks, such as image classification, natural language processing, and question-answering, with remarkable accuracy.

Natural Language Processing 83

Natural Language Processing Supervised Learning Machine Learning Machine Learning 83

How to Learn Machine Learning

MAY 14, 2023

Acquiring Essential Machine Learning Knowledge Once you have a strong foundation in mathematics and programming, it’s time to dive into the world of machine learning. Additionally, you should familiarize yourself with essential machine learning concepts such as feature engineering, model evaluation, and hyperparameter tuning.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

AWS Machine Learning Blog

OCTOBER 30, 2024

Sentence transformers are powerful deep learning models that convert sentences into high-quality, fixed-length embeddings, capturing their semantic meaning. These embeddings are useful for various natural language processing (NLP) tasks such as text classification, clustering, semantic search, and information retrieval.

Machine Learning 107

Machine Learning Machine Learning AWS Data Scientist 107

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. . Language as a game: the field of Emergent Communication Firstly, what is language?

AI 130

AI AI Data Science Machine Learning 130

Dataconomy

AUGUST 22, 2024

My work demonstrated broad expertise in computer vision, deep learning, and industrial IoT, showcasing the ability to adapt cutting-edge technologies to the specific needs of the oil and gas industry and tackle unprecedented challenges in the Malaysian context. One of the most promising trends in Computer Vision is Self-Supervised Learning.

ML 91

ML ML Machine Learning Machine Learning 91