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Data Fabric
By : Hana M, Data fabric is a modern approach to data management that aims to provide a unified view of an organization's data assets, regardless of where they are located or how they are stored...
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Data Privacy and Ethics
By : Gokula Nandhini K, An ethical approach to data use can be defined as one that intends to improve value to consumers without putting them at greater risk. Such an approach complies with privacy...
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Neuromorphic Sensors
By : Gokula Nandhini K, Neuromorphic sensors attempt to mimic the sensing and early visual-processing characteristics of living organisms. The objective of these sensors is to help reduce the computational...
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Pre-trained Language Models
By : Gokula Nandhini K, The intuition behind pre-trained language models is to create a black box which understands the language and can then be asked to do any specific task in that language...
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Decision Optimization
By : Gokula Nandhini K, Decision optimization is a branch of mathematics that deals with maximizing the output from a large number of input variables that exert their relative influence on the output...
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Anomaly Detection
By : Gokula Nandhini K, Anomaly detection is the identification of rare events, items, or observations which are suspicious because they differ significantly from standard behaviors or patterns...
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The Growth Of Intent-Based Networking (IBN)
By : Gokula Nandhini K, Time Series Data Analysis is a way of studying the characteristics of the response variable with respect to time as the independent variable. To estimate the target variable in the name...
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The core of data mining process
By : Gokula Nandhini K, Data mining is an iterative process that involves discovering patterns in large data sets. It includes methods and techniques such as machine learning, statistics, database systems...
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Dimension reduction methods and techniques
By : Gokula Nandhini K, Dimension Reduction process involves converting a data set with vast dimensions into a dataset with lesser dimensions ensuring that it provides similar information in short...
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Simple and multiple linear regression
By : Gokula Nandhini K, Linear regression models are among the basic statistical models for studying relationships between an independent variable X and Y dependent variable. It is a mathematical...
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Association Rules
By : Janani R, Association rules are a type of data mining technique used to discover interesting relationships and patterns in large datasets. Specifically, association rules identify...
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Cluster analysis
By : Gokula Nandhini K, Cluster analysis is the grouping of objects such that objects in the same cluster are more similar to each other than they are to objects in another cluster. The classification...
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Dimension reduction methods and techniques
By : Gokula Nandhini K, Data Classification is a core data mining technique for assigning categories to a set of data. The purpose is to support gathering accurate analysis and predictions from the data...
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Linear Discriminant analysis
By : Gokula Nandhini K, Linear Discriminant Analysis (LDA) is a supervised learning algorithm used for classification tasks in machine learning. It is a technique used to find a linear combination...
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Local Interpretable Model-agnostic Explanations (LIME)
By : Hana M, LIME stands for "Local Interpretable Model-agnostic Explanations". It is a technique used in machine learning to help explain the predictions made by a model on individual data instances...