RSS Featured Blog Posts
  • 3 Reasons to Learn the Expected Value Framework for Data Analysis
    One of the most difficult and most critical parts of implementing data science in business is quantifying the return-on-investment or ROI.  In this article, we highlight three reasons you need to learn the Expected Value Framework, a framework that connects the machine learning classification model to ROI.  …
    Matt Dancho
  • Remotely Send R and Python Execution to SQL Server from Jupyter Notebooks
    Introduction Did you know that you can execute R and Python code remotely in SQL Server from Jupyter Notebooks or any IDE? Machine Learning Services in SQL Server eliminates the need to move data around. Instead of transferring large and sensitive data over the network or losing accuracy on ML training with sample csv files, […]
    Kyle Weller
  • Weekly Digest, July 16
    Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. Featured Resources and Technical Contributions Best Machine Learning Tools:…
    Vincent Granville
  • Critically Reading Scientific Papers
    Critically reading scientific papers is critical for Data Scientists working some areas - especially those working in health. With that in mind, here are some key considerations in reading scientific (peer-review, grey literature) papers: Theory: Is the theory sound? Are there theoretical issues in the design that cause…
    Howard Friedman
  • The art of data science...
    In 2018, Fast Company declared ‘Data Scientist’ as the best job in America for the third…
    Ziyad Nazem

Awesome Data Projects

Launch of Project Survival

Awesome Data Projects Excerpt “This first of its kind collaboration is a step in offering hope to patients and families battling pancreatic cancer, which is one of the most deadly cancers affecting so many people,” said Niven R. Narain, Co-Founder, President and Chief Technology Officer of Berg. “This partnership is taking a true precision medicine approach to understand and treat pancreatic cancer. We will employ Berg’s Interrogative Biology™ Platform, which merges biology with technology to match the right patients to the right drugs based on the patient’s responses, and most importantly, to be able to detect this silent disease earlier so that effective treatments can lead to longer survival.”

How Big Data can improve the lives of the poor

Awesome Data Projects Excerpt “The Consultive Group to Assist the Poor, a global partnership that supports financial inclusion, noted in a report this month that the expansion worldwide of innovative digital financial services has cleared a path for millions of poor customers to move from an unbanked economy to mainstream banking. More than 80 counties have launched such services through the use of mobile phones in recent years, the report said. A CGAPvideo explains how “digital data offers huge potential for financial inclusion” for the poor. Providers can cross-reference huge amounts of data, from utility payments to housing conditions, to tailor mobile money services to consumers who previously had little or no access to them.”

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