Data analytics and AI
This glossary contains definitions related to customer data analytics, predictive analytics, data visualization and operational business intelligence. Some definitions explain the meaning of words used to Hadoop and other software tools used in big data analytics. Other definitions are related to the strategies that business intelligence professionals, data scientists, statisticians and data analysts use to make data-driven decisions.
Algorithms
Terms related to procedures or formulas for solving a problem by conducting a sequence of specified actions. In computing, algorithms in the form of mathematical instructions play an important part in search, artificial intelligence (AI) and machine learning.
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In-depth guide to machine learning in the enterprise
Machine learning (ML) is a type of artificial intelligence (AI) focused on building computer systems that learn from data. The broad range of techniques ML encompasses enables software applications to improve their performance over time.
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ensemble modeling
Ensemble modeling is the process of running two or more related but different analytical models and then synthesizing the results into a single score or spread in order to improve the accuracy of predictive analytics and data mining applications.
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anomaly detection
Anomaly detection is the process of identifying data points, entities or events that fall outside the normal range.
Artificial intelligence
Terms related to artificial intelligence (AI), including definitions about machine learning and words and phrases about training data, algorithms, natural language processing, neural networks and automation.
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In-depth guide to machine learning in the enterprise
Machine learning (ML) is a type of artificial intelligence (AI) focused on building computer systems that learn from data. The broad range of techniques ML encompasses enables software applications to improve their performance over time.
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Hugging Face
Hugging Face is a machine learning and data science platform and community that helps users build, deploy and train machine learning models.
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large language models (LLMs)
A large language model (LLM) is a type of artificial intelligence (AI) algorithm that uses deep learning techniques and massively large data sets to understand, summarize, generate and predict new content.
Data and data management
Terms related to data, including definitions about data warehousing and words and phrases about data management.
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distributed ledger technology (DLT)
Distributed ledger technology (DLT) is a digital system for recording the transaction of assets in which the transactions and their details are recorded in multiple places at the same time.
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anomaly detection
Anomaly detection is the process of identifying data points, entities or events that fall outside the normal range.
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capacity management
Capacity management is the broad term describing a variety of IT monitoring, administration and planning actions that ensure that a computing infrastructure has adequate resources to handle current data processing requirements, as well as the capacity to accommodate future loads.
Database management
Terms related to databases, including definitions about relational databases and words and phrases about database management.
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In-depth guide to machine learning in the enterprise
Machine learning (ML) is a type of artificial intelligence (AI) focused on building computer systems that learn from data. The broad range of techniques ML encompasses enables software applications to improve their performance over time.
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distributed ledger technology (DLT)
Distributed ledger technology (DLT) is a digital system for recording the transaction of assets in which the transactions and their details are recorded in multiple places at the same time.
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C++
C++ is an object-oriented programming (OOP) language that is viewed by many as the best language for creating large-scale applications. C++ is a superset of the C language.