The modern data glossary

Machine Learning and AI

Using algorithms for systems to learn and make decisions without explicit programming.

Tables and Crosstabs in Data Presentation

Explore the differences between tables and crosstabs in data presentation, their purposes, and the types of data they handle in this comprehensive guide.

Exploring Monitoring Data Stream Applications

Explore the importance and applications of monitoring data stream tools. Learn how they provide real-time insights, handle imprecise data, and trigger automated responses.

What is Data Ethics?

Data ethics refers to the principles and practices that govern the ethical use, management, and sharing of data, ensuring privacy, consent, and fairness.

What is Responsible AI (RAI)?

Responsible AI (RAI): Implement AI systems ethically and responsibly, ensuring fairness, transparency, and accountability.

What is Big Data?

Learn about Big Data, the vast volumes of data that can be analyzed for insights leading to better decisions and strategic business moves.

What is Predictive Analytics?

Understand Predictive Analytics, the use of data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes.

What is Artificial Intelligence?

Get insights into Artificial Intelligence, the simulation of human intelligence processes by machines, especially computer systems.

What are Machine Learning Algorithms?

Machine Learning Algorithms are the set of rules and techniques used by machines to learn from data and make predictions.

What are Data Science Platforms?

Get insights into Data Science Platforms, integrated environments that provide tools for data processing, analysis, and machine learning.

What are Machine Learning Models?

Discover Machine Learning Models, computational tools that enable systems to learn from data, improve from experience, and predict outcomes.

What does Data Science Mean for Business?

Data Science: A field that uses scientific methods to extract insights from data.

What are LLM Machine Learning (Large Language Models)?

Large Language Models, or LLMs, are advanced artificial intelligence frameworks designed to understand, interpret, and generate human-like text.

What is Overfitting in Machine Learning?

Overfitting in data management refers to a scenario where a machine learning model is overly trained to the extent that it perfectly fits the training dataset but fails to make accurate predictions for new, unseen data.

What Are Stable Diffusion Models?

A Stable Diffusion model is a type of artificial intelligence (AI) model designed for generating digital images from textual descriptions.

What Is Sentiment Analysis?

Sentiment analysis, within the realm of data management, plays a pivotal role in interpreting and categorizing emotions in textual data. By leveraging natural language processing (NLP), sentiment analysis algorithms can sift through vast amounts of unstructured data to extract valuable insights.

What Is Deep Learning?

Deep learning is a sophisticated subset of machine learning that empowers computers to learn from data through layers of neural networks, mimicking the human brain's structure and function.

What Is NLP (Natural Language Processing)?

Natural Language Processing, or NLP, is a field at the intersection of computer science, artificial intelligence, and linguistics. It's concerned with how computers can understand, interpret, and manipulate human language.

What is A Neural Network?

A neural network is a computational model inspired by the structure of the human brain, consisting of interconnected units or nodes that work together to process and analyze data. Just like neurons in the brain that transmit signals, these artificial nodes receive input, process it, and pass on the output to other nodes.

What is a Recommendation Engine?

A recommendation engine, also referred to as "suggestion engine”, is used to predict the rating or preference that a user would give to an item. Learn more.

What is a Data Model?

A data silo is a repository of information and are often used to store digital assets. A data silo has a single purpose and can be problematic. Learn more.