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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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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. Using the DirectX analytics interface can enable you to pick out important trading insights and points, which simplifies algorithmic trading.

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Python for Business: Optimize Pre-Processing Data for Decision-Making

Smart Data Collective

Accordingly, before using that data in machine learning or an algorithm, you need to convert it into a precise format suitable for the system to inherit it. For instance, the Random Forest Algorithm in Python doesn’t support null values. Hence, data preprocessing is essential and required. Algorithmic Trading.

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An Important Guide To Unsupervised Machine Learning

Smart Data Collective

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. Overall, unsupervised algorithms get to the point of unspecified data bits. Source ]. Source ].

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Analytics Changes the Calculus of Business Tax Compliance

Smart Data Collective

For streamlined record keeping, you can take advantage of accounting software such as QuickBooks or Freshbooks, designed to make tracking and to organize your finances more manageable. This is one of the areas where data mining technology can come in handy.

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Side Hustle Ideas for Experienced Data Scientists in 2022

Smart Data Collective

Data scientists can develop their own customized data mining tools that use the Google Keyword Planner API to find the best keywords for their business. You might be wondering how you will have an advantage as a data scientist after starting an Etsy shop. It uses complex data analytics features.

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Why Data-Driven SEO is Crucial for SMEs in This Recession

Smart Data Collective

This means that businesses are going to need to leverage big data technology strategically to improve their cost-effectiveness and build their competitive edge. Data-driven SEO will be one of the most important ways that they can achieve these goals. This includes choosing the right pages to optimize.