The Pyramid of Data

Steve sees a pyramid of how we work with data.

Data Science, BI, and Reports

Business Intelligence and Data Science are linked, and complementary. As Steve notes, both can help your organization make better decisions based on data.

Hosting a Machine Learning Model in ASP.NET Core 3.0

Microsoft introduced the ML.NET framework which can be used by developers to include machine learning models in their applications. In this article, Dino Esposito discusses hosting a machine learning model in ASP.NET Core 3.0.

Building Machine Learning Models to Solve Practical Problems

Machine learning is a skill that many data professionals are learning as they plan their careers over the next five to ten years. In this article, Supriya Pande gives an overview of machine learning and walks through a practical example.

Connect Python to SQL

How to connect Python to Microsoft T-SQL, Postgres, MySQL and SQLLite

Pondering statistical significance in a world without .05

The latest edition of The American Statistician is...

All Data is Dirty: Subjective Data, Likert Scales, and More

One of the things I like to point out in my Launching a Data Science Project talk is that all data is, by its nature, dirty. I figured I...

How to show characteristics of study population in R with a single line of code

Interested in guest posting? We would love to share your codes and ideas with our community.
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Data Management
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Data Management
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Another advantage of R, in addition to visualization, is the...

What is Data Maturity?

Companies across the world are at different stages of experimenting with data and realizing what kinds of decisions can be made via deep analysis. Since these trials and realizations are happening at differing speeds, and often start from scratch within each organization, there are significant disparities in maturity between otherwise similar organizations.

Machine Learning Digs Deeper into Azure with Custom Vision, Anomaly Detector

Microsoft's quarter of product announcements underscores its commitment to the cloud, its investment in machine learning as a core component of the modern enterprise, and an expansion of its focus on firstline workers who may not always have high-speed...