Why You Need Data Scientists On Your Team

Data scientists are becoming more and more in demand as businesses are realizing the importance of data-driven decision making. Data scientists can help your business by turning complex data sets into actionable insights, so it’s important to have them on your team. What is a data scientist and what do they do? What is a

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What is Data Modeling & Why It Matters?

Data modeling is the process of creating a conceptual model of data. This means taking all of the data related to a specific topic or issue and organizing it in a way that makes sense. By doing this, you can better understand the relationships between different pieces of data, and make informed decisions about how

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What Does Data Robustness Mean?

Introduction Data Robustness is the overall degree to which a given dataset can tolerate variations in its collection and integration procedures without suffering a loss of information content, statistical validity, and/or scientific meaning. It refers to the quality of data collected, and refers to whether it is weak or strong. There are many different reasons

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How AI Is Being Used in Healthcare

Artificial Intelligence is the next big thing in Healthcare. The past few years have already shown considerable progress as the world faced a pandemic requiring doctors to go online, patients to demand more data sharing between providers, and AI models predicting COVID outcomes.  What is AI and how is it being used in healthcare? Artificial

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What Leaders Need to Know About Deep Neural Networks

Introduction Deep learning is a subset of machine learning that is concerned with algorithms that can learn to represent and model data in multiple layers, often composed of hidden units. These networks can learn to perform complex tasks such as image recognition, natural language processing, and detection of fraud. Deep learning has seen a resurgence

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How Businesses Are Improving Their Bottom Line With Predictive Analytics

Predictive analytics is the use of math modeling to predict future events. These mathematical models can be used to analyze data, making predictions about future events.

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