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

Data Science Blog

MARCH 14, 2023

GPT-3 ist jedoch noch komplizierter, basiert nicht nur auf Supervised Deep Learning , sondern auch auf Reinforcement Learning. GPT-3 wurde mit mehr als 100 Milliarden Wörter trainiert, das parametrisierte Machine Learning Modell selbst wiegt 800 GB (quasi nur die Neuronen!) Retrieved August 1, 2020.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

KDnuggets

DECEMBER 16, 2019

Gain an understanding of the important developments of the past year, as well as insights into what expect in 2020. It is an annual tradition for Xavier Amatriain to write a year-end retrospective of advances in AI/ML, and this year is no different.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 130

AssemblyAI

MAY 17, 2023

Since the release of the Language Model GPT-3 in 2020, LMs have been used in isolation to complete tasks on their own, rather than being used as parts of other systems. Let’s first take a look at the process of supervised learning as motivation. Let’s take a look at how this works now. Can we do better?

Supervised Learning 119

Supervised Learning AI AI Machine Learning 119

DrivenData Labs

JUNE 14, 2023

Self-supervision: As in the Image Similarity Challenge , all winning solutions used self-supervised learning and image augmentation (or models trained using these techniques) as the backbone of their solutions. His research interest is deep metric learning and computer vision. We first train a base model.

Supervised Learning 173

Supervised Learning Artificial Intelligence Artificial Intelligence AI 173

ML @ CMU

SEPTEMBER 15, 2023

Slot-TTA builds on top of slot-centric models by incorporating segmentation supervision during the training phase. ii) We showcase the effectiveness of SSL-based TTA approaches for scene decomposition, while previous self-supervised test-time adaptation methods have primarily demonstrated results in classification tasks.

Machine Learning 179

Machine Learning Machine Learning Supervised Learning Algorithm 179

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