Data Science & AI Glossary

Natural Language Processing Machine Learning Computer Vision

∙ 05/17/2019

Active Learning

Active learning is a form of semi-supervised machine learning where the algorithm chooses which data to learn from and queries a teacher for guidance.

3139

Classifier Estimator (Statistics) Autoencoder

∙ 07/22/2020

Generative Adversarial Network

A generative adversarial network (GAN) is an unsupervised machine learning architecture that trains two neural networks by forcing them to “outwit” each other.

2636

Machine Learning Classifier Harmonic Mean

∙ 05/17/2019

Evaluation Metrics

Evaluation metrics are used to measure the quality of the statistical or machine learning model.

2497

ImageNet Classifier Estimator (Statistics)

∙ 05/17/2019

Convolutional Neural Network

A convolutional neural network, or CNN, is a deep learning neural network designed for processing structured arrays of data such as images.

2349

Activation Function Variance Deep Learning

∙ 05/17/2019

Batch Normalization

Batch Normalization is a supervised learning technique that converts selected inputs in a neural network layer into a standard format, called normalizing.

2121

Computer Vision Neural Network Natural Language Processing

∙ 05/17/2019

Attention Models

Attention models break down complicated tasks into smaller areas of attention that are processed sequentially.

1932

Machine Learning Odds (Probability) Prior Probability

∙ 05/17/2019

Bayes’ theorem is a formula that governs how to assign a subjective degree of belief to a hypothesis and rationally update that probability with new evidence. Mathematically, it's the the likelihood of event B occurring given that A is true.

1912

Machine Learning Bayesian Inference Bayes Theorem

∙ 05/17/2019

Posterior Probability

In statistics, the posterior probability expresses how likely a hypothesis is given a particular set of data.

1877

Classifier Machine Learning Harmonic Mean

∙ 05/17/2019

F-Score

The F score, also called the F1 score or F measure, is a measure of a test’s accuracy.

1688

Supervised Learning Unsupervised Learning Classifier

∙ 05/17/2019

Deep Belief Network

Deep Belief Networks (DBNs) are a laddering of individual unsupervised networks that use each network’s hidden layer as the input for the next layer.

1646

Vector Classifier Open Source

∙ 05/17/2019

Natural Language Processing

In simple words, Natural Language Processing is a field which aims to make computer systems understand human speech. NLP is comprised of techniques to process, structure, categorize raw text and extract information.

1592