Showing 1-28 of 28 articles
A/B Testing
A/B testing (also called split testing, bucket testing, or an online controlled experiment) is a randomized controlled experiment that compares two variants, a...
Machine LearningStatistics
Anomaly Detection
In machine learning, anomaly detection is the process of identifying data points, events, or observations that deviate significantly from normal patterns in a...
Machine Learning
Concept drift
Concept drift is the change over time in the statistical relationship between a model's inputs and its target, formally when the joint distribution P(X, Y)...
MLOpsMachine Learning
Confirmation Bias
Confirmation bias is the tendency to search for, interpret, favor, and recall information in ways that confirm one's preexisting beliefs, and in artificial...
AI EthicsAI Safety
DBSCAN
DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is a density-based clustering algorithm that groups together points packed closely in...
Artificial IntelligenceMachine Learning
Dask
Dask is an open-source Python library for parallel and distributed computing that scales the familiar APIs of libraries such as NumPy, pandas, and scikit-learn...
AI InfrastructureMachine Learning
Data Analysis
Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support...
Machine LearningStatistics
Data Analysis ChatGPT Plugins
Data analysis ChatGPT plugins were a category of third-party tools that extended ChatGPT with capabilities for analysts, data scientists, and finance...
ChatGPT
Data Visualization
Data visualization is the graphical representation of information and data through charts, plots, maps, and dashboards. The use of artificial intelligence in...
AI Tools & Products
Data Visualization ChatGPT Plugins
Data visualization ChatGPT plugins were a category of third party tools, active from 2023 to 2024, that let ChatGPT draw charts, plot graphs, render...
AI HistoryChatGPT
Data labeling
Data labeling (also called data annotation) is the process of attaching meaningful tags, labels, or metadata to raw data so that machine learning algorithms...
Artificial IntelligenceMachine Learning
DataFrame
A DataFrame is a two-dimensional, size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns), in which each column can...
AI Tools & ProductsMachine Learning
Dimensionality reduction
Dimensionality reduction is the process of transforming data from a high-dimensional space into a lower-dimensional representation that retains as much of the...
Machine Learning
Feature Set
A feature set is the complete collection of input variables (features, attributes, or predictors) that a machine learning model uses to learn patterns and make...
Data & DatasetsMachine Learning
Julius AI
Julius AI is an artificial intelligence data analysis platform that allows users to analyze datasets, generate visualizations, and perform statistical...
Artificial Intelligence
Kaggle
Kaggle is the world's largest online community and platform for data scientists and machine learning practitioners, where companies and researchers post...
AI CompaniesEducation AI
Matplotlib
Matplotlib is the foundational open-source data visualization library for Python, created by John D. Hunter in 2003, that produces static, animated, and...
AI Tools & ProductsMachine Learning
Pandas
Pandas is an open-source data analysis and manipulation library for the Python programming language, providing high-performance, flexible data structures...
AI Tools & ProductsMachine Learning
RAPIDS
RAPIDS is an open-source suite of GPU-accelerated software libraries for data science, analytics, and machine learning, developed and maintained by Nvidia. It...
NVIDIAOpen Source AI
Research & Analysis
Research & Analysis in the AI sense refers to the use of artificial intelligence, especially large language models paired with retrieval-augmented generation,...
AI ResearchAI Tools & Products
Synthetic Feature
A synthetic feature (also called a constructed feature or derived feature) is a variable created by transforming, combining, or otherwise manipulating one or...
Data & DatasetsMachine Learning
Tabular models
Tabular models are machine learning systems that learn from data arranged in tables, where each row is a sample and each column is a feature. The defining...
Machine Learning
TensorBoard
TensorBoard is the open-source visualization toolkit for TensorFlow, described by Google as "a suite of visualization tools to understand, debug, and optimize...
Developer ToolsMachine Learning
Time Series Analysis
Time series analysis is the statistical and computational study of data points indexed in chronological order, with the goal of extracting patterns such as...
Machine LearningStatistics
UMAP (Uniform Manifold Approximation and Projection)
UMAP (Uniform Manifold Approximation and Projection) is a nonlinear dimensionality reduction technique that compresses high-dimensional data into a...
Machine Learning
Unsupervised learning
Unsupervised learning is a branch of machine learning in which algorithms identify patterns, structures, and relationships in data without relying on labeled...
Artificial IntelligenceMachine Learning
Uplift Modeling
Uplift modeling (also called incremental modeling, true lift modeling, or net modeling) is a set of machine learning and statistical techniques that predict...
Machine LearningStatistics
t-SNE
t-distributed stochastic neighbor embedding (t-SNE) is a nonlinear dimensionality reduction technique used primarily for visualizing high-dimensional data in...
Machine Learning