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Big Data vs Data Mining

Knowledge Hut

Big data and data mining are neighboring fields of study that analyze data and obtain actionable insights from expansive information sources. Big data encompasses a lot of unstructured and structured data originating from diverse sources such as social media and online transactions.

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How to get datasets for Machine Learning?

Knowledge Hut

Datasets are the repository of information that is required to solve a particular type of problem. Also called data storage areas , they help users to understand the essential insights about the information they represent. Datasets play a crucial role and are at the heart of all Machine Learning models.

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Data Mining Functionalities: Meaning, Frameworks & Examples

Edureka

Data mining is a method that has proven very successful in discovering hidden insights in the available information. It was not possible to use the earlier methods of data exploration. Through this article, we shall understand the process and the various data mining functionalities. What Is Data Mining?

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What is LDA: Linear Discriminant Analysis for Machine Learning

Knowledge Hut

The techniques of dimensionality reduction are important in applications of Machine Learning, Data Mining, Bioinformatics, and Information Retrieval. The main agenda is to remove the redundant and dependent features by changing the dataset onto a lower-dimensional space. In simple terms, they reduce the dimensions (i.e.

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Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

Data Mining Data science field of study, data mining is the practice of applying certain approaches to data in order to get useful information from it, which may then be used by a company to make informed choices. It separates the hidden links and patterns in the data.

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Top 30+ Computer Science Project Topics of 2023 [Source Code]

Knowledge Hut

From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. Programming a system to track medical appointments. Investigating the security risks associated with hospital data. To get started, you'll need to gather data from a variety of sources.

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What is data processing analyst?

Edureka

Statistical Analyst: Statistical Analysts specialize in applying statistical techniques to analyze data and draw meaningful conclusions. They may conduct hypothesis testing, regression analysis, or data clustering to gain insights into patterns and trends.