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DataScience.com Blog

Learn about data science best practices from our team and contributing experts.

 

Brittany-Marie SwansonJanuary 8, 2018

Data Science Will Be More Complex and Collaborative in 2018

In 2018, companies will lay the groundwork for complex, collaborative data science projects that streamline operations and improve customer experiences.
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Tyler J. VanderWeele, Ph.D.October 25, 2017

Assessing Evidence for Causality Using the E-Value

Harvard Professor of Epidemiology Tyler VanderWeele explains how the E-value measures the level of impact confounding variables play in observational studies.
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Brittany-Marie SwansonOctober 16, 2017

DataScience.com Receives AWS Support for Transportation Data Challenge

Amazon Web Services is providing datasets and resources for DataScience.com and the NSF's Regional Big Data Innovation Hubs' Transportation Data Challenge.
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Joe LiangOctober 9, 2017

Using Data Science to Guide Drug Development and Predict Disease

Joe Liang, synthetic biologist and data scientist, discusses how data science can help determine the correlation between genetic patterns and disease.
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Joe LiangSeptember 11, 2017

The Importance of Data Science in Biotech

Data Scientist at Synthetic Genomics Joe Liang discusses how data science is playing a crucial role in disease prediction.
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Charles BergmeierSeptember 5, 2017

Scaling Data Infrastructure at Postmates

Data Engineer at Postmates Charles Bergmeier discusses how the on-demand delivery service redesigned its existing data architecture for scalability.
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Hoang LeAugust 28, 2017

Beyond Deep Learning: A Case Study in Sports Analytics

Ph.D. student at Caltech Hoang Le discusses his team's research creating machine learning algorithms to streamline automated camera technology.
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Jacqueline BerkmanJuly 25, 2017

Data Science Can Account for Binge Buyers and Athletes on a Hot Streak

Lead Data Scientist Jean René Gauthier discusses how the clumpiness index applies to e-commerce and sports, as well as the implications for business.
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Jacqueline BerkmanJuly 10, 2017

Which Approach to Recommendation Engines is Right For Your Organization?

Data Scientist Tuck Ngun explores the limitations and opportunities within content-based filtering and collaborative-based filtering recommendation engines.
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Aaron KramerDecember 12, 2016

Introduction to Bayesian Inference

In his overview of Bayesian inference, Data Scientist Aaron Kramer walks readers through a common marketing application using Python.
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