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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

You may not even know exactly which path you should pursue, since some seemingly similar fields in the data technology sector have surprising differences. We decided to cover some of the most important differences between Data Mining vs Data Science in order to finally understand which is which. What is Data Science?

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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. Search engines crawl metadata of image files, videos and other visual creative when they are indexing websites. This data can play a very important role in SEO. You need to use data mining tools that provide more granular insights.

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DirectX Visualization Optimizes Analytics Algorithmic Traders

Smart Data Collective

Learn how DirectX visualization can improve your study and assessment of different trading instruments for maximum productivity and profitability. A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge. But first, What is DirectX Anyway?

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An Important Guide To Unsupervised Machine Learning

Smart Data Collective

Instead, we let the system discover information and outline the hidden structure that is invisible to our eye. As a result, unsupervised ML algorithms are more elaborate than supervised ones, since we have little to no information or the predicted outcomes. k-means Clustering – Document clustering, Data mining.

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10 Key Data Mining Challenges in NLP and Their Solutions

Dataversity

Even as we grow in our ability to extract vital information from big data, the scientific community still faces roadblocks that pose major data mining challenges. In this article, we will discuss 10 key issues that we face in modern data mining and their possible solutions.

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Using Geographic Data To Create A Perfect Google Maps Radius

Smart Data Collective

One new feature is the ability to create a radius, which wouldn’t be possible without the highly refined data mining and analytics features embedded in the core of the Google Maps algorithm. The Emerging Role of Big Data with Google Analytics. The highly intuitive data interface provided by Google Maps can be very helpful.

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10 Essential Data-Driven B2B Email Marketing Strategies

Smart Data Collective

Yo can use big data to make this easier. One option is to use data mining tools to learn more about the challenges people are making. You can assimilate data from various polls to learn more about the pain points of your target customers and create content that addresses them. Keep it Short and Sweet.