Neural networks are a subset of Machine learning and are at the heart of Deep learning algorithms
Stream processing technology allows users to query continuous data streams and detect conditions quickly and effectively.
In this article, we discuss how Random Forest differs from Active Learning Random Forests, its comparison and how they can be used for Big Data analysis.
Sports management often relied on gut feelings and assumptions. Using Big Data Science changed that. We show how.
Global healthcare systems are challenged by high costs and pandemics. We look into the opportunities that Big Data Science offers for the healthcare industry.
Business capabilities and opportunities result from these Big Data Landscape maturity levels of an enterprise. We describe what they are and how they matter.
Concept drifts in Time Series Data are crucial for analysis and machine learning. We discuss concept drifts and their implications for machine learning.
If you're looking for inspiration on ways you can incorporate data driven personalized email marketing to grow your business, then you've come to the right place. We explore how renowned business giants utilize data driven personalized email marketing.
Third party data from already existing apps is a shortcut for Coronavirus geotracking. We discuss which companies have data and discuss different integration solutions.
Mobile providers have data which cell towers are received by a smartphone. With Big Data Analytics this data can give insights if most people stay home to optimize controls and restrictions.
We discuss how mobile provider Big Data and Time Series Database based Analysis can support the containment of Covid-19 and reveal an concrete implementation guide.

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How to avoid the worst big data failures