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Hadoop Data Mining Tools Can Enhance The Value Of Digital Assets

Smart Data Collective

Digital marketers can use data mining tools to assist them in a number of ways. Hadoop data mining technology can identify duplicate metadata content across different digital creatives, which might be causing search engine penalties, message saturation issues and other problems. Metadata is important in digital marketing.

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What is data analytics? Analyzing and managing data for decisions

CIO

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

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DirectX Visualization Optimizes Analytics Algorithmic Traders

Smart Data Collective

A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge. Let’s dive right into how DirectX visualization can boost analytics and facilitate testing for you as an Algo-trader, quant fund manager, etc. But first, What is DirectX Anyway?

Algorithm 363
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Banks Merge Data Mining and CRM Tools to Boost Profitability

Smart Data Collective

Banks that take immediate action based on their data analytics fraud scoring algorithms, such as blocking irregular transactions, can prevent fraud before it happens. The American Association of Actuaries reports that big data can also help with actuarial decision making.

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What is predictive analytics? Transforming data into future insights

CIO

Predictive analytics in business Predictive analytics draws its power from a wide range of methods and technologies, including big data, data mining, statistical modeling, machine learning, and assorted mathematical processes. from 2022 to 2028. As such it can help adopters find ways to save and earn money.

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An Important Guide To Unsupervised Machine Learning

Smart Data Collective

Unlike supervised ML, we do not manage the unsupervised model. Unsupervised ML uses algorithms that draw conclusions on unlabeled datasets. As a result, unsupervised ML algorithms are more elaborate than supervised ones, since we have little to no information or the predicted outcomes. Clustering – Exploration of Data.

Learning 363
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NASA accelerates science with gen AI-powered search

CIO

Recognizing that giving scientists and researchers access to its data was fundamental to its purpose, SMD developed its Open Source Science Initiative (OSSI) as a result of that report in an effort to make publicly funded scientific research transparent, inclusive, accessible, and reproducible.