Mlearning.ai

APRIL 8, 2023

The earlier models that were SOTA for NLP mainly fell under the traditional machine learning algorithms. These included the Support vector machine (SVM) based models. These algorithms treated NLP analysis with a more statistical and mathematical approach.

Natural Language Processing 98

Natural Language Processing Algorithm Machine Learning Machine Learning 98

Mlearning.ai

JUNE 14, 2023

YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1) Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube

Natural Language Processing 52

Natural Language Processing ML ML Support Vector Machines 52

DrivenData Labs

MAY 1, 2025

Some participants combined a transformer neural network with a tree-based model or support vector machine (SVM). changes between 2003 and 2012). All of the top models used the encoder of a pretrained model to generate embeddings, and added their own classification layer.

Decision Trees 147

Decision Trees Clustering Algorithm Machine Learning 147

Flipboard

JULY 31, 2023

Pascal VOC 2012 Pascal VOC 2012 is a large-scale dataset of images used for object detection and image classification. The latest version, Pascal VOC 2012, contains 11,500 images divided into 20 object classes. In their debut paper, they used a support-vector machine and only messed up 0.8% of the time.

Machine Learning 123

Machine Learning Machine Learning Deep Learning Deep Learning 123