Dataconomy

APRIL 28, 2025

AdaGrad is an optimization algorithm that adapts the learning rate for each model parameter, improving convergence speed during the training process. Definition of AdaGrad AdaGrad is designed to modify learning rates according to the accumulated sums of the squares of past gradients.

Algorithm 91

Algorithm Natural Language Processing Machine Learning Machine Learning 91

Hacker News

NOVEMBER 15, 2023

Patrick Lewis “We definitely would have put more thought into the name had we known our work would become so widespread,” Lewis said in an interview from Singapore, where he was sharing his ideas with a regional conference of database developers. The concepts behind this kind of text mining have remained fairly constant over the years.

Database 181

Database AI AI Natural Language Processing 181

Dataconomy

JUNE 15, 2023

Marvin Minsky offers a definition of AI as the development of computer programs that engage in tasks that currently rely on high-level mental processes such as perceptual learning, memory organization, and critical reasoning. This demonstrated the astounding potential of machines to learn and differentiate between various objects.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence Deep Learning Deep Learning 103

Alation

FEBRUARY 20, 2020

While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a form accessible to business users – the data catalog. Here’s why your organization should catch the Wave. Subscribe to Alation's Blog.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Analytics 52

DagsHub

JULY 25, 2024

Libraries and Extensions: Includes torchvision for image processing, touchaudio for audio processing, and torchtext for NLP. Notable Use Cases PyTorch is extensively used in natural language processing (NLP), including applications like sentiment analysis, machine translation, and text generation. In 2011, H2O.ai

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Explosion

FEBRUARY 12, 2017

The Quora dataset is an example of an important type of Natural Language Processing problem: text-pair classification. The definition is block-scoped, so you can always read what the operators are being aliased to. This type of problem is challenging because you usually can’t solve it by looking at individual words.

Deep Learning 40

Deep Learning Deep Learning Natural Language Processing Machine Learning 40

Explosion

DECEMBER 17, 2013

Natural languages introduce many unexpected ambiguities, which our world-knowledge immediately filters out. There are lots of problems to solve to make that work, but some sort of syntactic representation is definitely necessary. Syntactic Processing Using the Generalized Perceptron and Beam Search.

Python 45

Python Algorithm Natural Language Processing 45