Optical character recognition is a technology that allows a computer to convert scanned data into editable, searchable text. Our expert explains what you need to know.
K-nearest neighbor (KNN) is an algorithm that is used to classify a data point based on how its neighbors are classified. Here’s what you need to know.
In this four-part series, I’ll show you how the Markov decision process works and the mathematical theory you need to know to understand deep reinforcement learning.
Image processing in Python involves using Python to analyze and manipulate digital images to improve quality or extract information. Here’s an overview of common Python libraries used for image processing tasks.
ResNet (Residual Network) architecture is a type of artificial neural network that enables the flow of gradients through skip connections, which mitigates vanishing gradients and improves trainability in very deep convolutional neural networks.
A language model conducts a probability distribution over words or word sequences. Here’s more on what language models can do, their types, evolution and future outlook.
T-distributed stochastic neighbor embedding (t-SNE) is a non-linear dimensionality reduction technique used to visualize high-dimensional data in a low-dimensional 2D or 3D space. Here's how to apply it in Python.
