Natural Language Processing
Supervised Learning
Machine Learning

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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.
Classifier
Estimator (Statistics)
Autoencoder

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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.
Machine Learning
Confusion Matrix

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05/17/2019
### Evaluation Metrics

Evaluation metrics are used to measure the quality of the statistical or machine learning model.
ImageNet
Classifier
Estimator (Statistics)

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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.
Supervised Learning
Deep Learning
Loss Function

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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.
Vector
Neural Network
Computer Vision

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05/17/2019
### Attention Models

Attention models break down complicated tasks into smaller areas of attention that are processed sequentially.
Machine Learning
Odds (Probability)
Prior Probability

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05/17/2019
### Bayes Theorem

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.
Machine Learning
Bayesian Inference
Bayes Theorem

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05/17/2019
### Posterior Probability

In statistics, the posterior probability expresses how likely a hypothesis is given a particular set of data.
Classifier
Machine Learning
Harmonic Mean

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05/17/2019
### F-Score

The F score, also called the F1 score or F measure, is a measure of a test’s accuracy.
Supervised Learning
Unsupervised Learning
Restricted Boltzmann Machine

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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.
Natural Language Processing
Unsupervised Learning
Machine Learning

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05/17/2019