Worker
Definition of Worker
Worker: A worker is a node in a deep learning network that is responsible for processing a particular set of inputs and generating an output.
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Data Wrangling
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Definition of Data Wrangling Data wrangling is the process of manipulating and cleaning data in order to prepare it for analysis. This can involve anything from removing duplicates to transforming data into a different format. Data wrangling can be a time-consuming process, but it is essential for ensuring that data is ready for analysis. What…
Database Design
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Definition of Database Design Database Design: Database design is the process of designing the structure of a database. This includes defining the tables, fields, and relationships between them. Why does Database Design matter? Database design is an important factor in any data science or machine learning environment. It lays the foundation for how data is…
Latent Dirichlet Allocation
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Definition of Latent Dirichlet Allocation Latent Dirichlet Allocation: Latent class analysis (LCA) is a technique used in statistics and data mining for the analysis of categorical data. LCA is a type of cluster analysis that seeks to identify a finite number of unobserved classes (clusters) within a population. The detected classes are latent, meaning they…
Standard Normal Distribution
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Input
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Definition of Input Input: Input refers to the data that is given to a machine learning algorithm in order to learn from it. The input can be in a number of formats, including text, images, and videos. What are the most common types of Input given to machine learning algorithms? The most common types of…