Quant
Definition of Quant
Quant: A quant is short for quantitative analyst.
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Data Lake
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Definition of Data Lake Data Lake: A data lake is a term used in big data management to describe a storage repository that holds a large volume of raw data in its native format. The data in a data lake can be processed and analyzed by the business users who own it, without having to…
Parametric
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Definition of Parametric Parametric: Parametric models are a type of statistical model that rely on mathematical formulas to describe the relationship between the input and output variables. These models can be used to predict future values for the output variable based on past values of the input variable.
Data Integration
ByDavis
Definition of Data Integration Data Integration: Data integration is the process of combining data from multiple sources into a single coherent dataset. This can be done manually, but more often it is done with software that can combine the data automatically. The goal of data integration is to make it easier to analyze the data…
Vector Space Model
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Definition of Vector Space Model Vector Space Model: A vector space model is a mathematical model used in statistics, data mining, and machine learning to describe a set of objects in terms of their attributes and relationships between them.
Gradient Boosting
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Definition of Gradient Boosting Gradient Boosting: Gradient boosting is a machine learning technique that combines a number of weaker models to produce a stronger model. It does this by constructing a model that takes into account the predictions of the weaker models, and uses this information to make its own predictions. What is Gradient Boosting…
Supervised Learning
ByDavis
Definition of Supervised Learning Supervised Learning: Supervised learning is a type of machine learning algorithm where the computer system is provided with a set of training data, and the task is to learn how to predict the correct output values for new data. The algorithm is “supervised” because each answer it provides is validated by…