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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

Other techniques include simple re-sampling, where the minority class is continuously re-sampled until the number of obtained observations matches the size of the majority class, and focused under-sampling, where the discarded observations from the majority class are carefully selected to be away from the decision boundary (Japkowicz, 2000).

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Data Analytics Helps Marketers Substantially Boost Image SEO

Smart Data Collective

While using large images may seem like a good idea to show off the quality, it’s unnecessary to go above 1500-2000 pixels. You can use data mining tools like Accessibilityscripts.com and SEOptimer to find the alt tags of competitors. This can help you figure out which meta data is already working well.

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Self-Service BI vs Traditional BI: What’s Next?

Alation

A shift emerged around 2000 with the initial discussions regarding digital transformation. At Alation, we believe self-service has three unique stakeholders: End users trying to discover data for decision making. Business analysts needing to find data to create new analysis and reports.

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How to unlock a scientific approach to change management with powerful data insights

IBM Big Data Hub

This Index proved that in almost 2000 companies, organizational health is closely linked to performance. In its very nature, data mining tools target this continuous improvement and equip its users with the data to continuously identify new opportunities and relentlessly reinvent the way things get done.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

RapidMiner RapidMiner is an excellent open-source tool for Big Data Analytics that can handle data preparation, model development, and deployment, as well as custom data mining methods and predictive setup analysis through a series of add-ons. Pricing : Lumify is a free tool. Less complex administration.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

Biostatistics, 1(1):27-34, 03 2000. [2] Improving the sensitivity of online controlled experiments by utilizing pre-experiment data. Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, WSDM ’13, page 123–132, New York, 2013. [28] References [1] Andrew Gelman. 2] Nist / sematech.

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Convergent Evolution

Peter James Thomas

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation. This is the essence of Convergent Evolution.