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Why You Should Look Under the Hood of a...

Nikki Castle | 04.25.17

Predictive modeling and machine learning algorithms provide a variety of key insights that can help you make better business decisions, but it's important to...
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The Methodology Behind the DataScience Trends...

John Case | 04.24.17

Get a behind-the-scenes look at the data and code that when into building DataScience Trends, a tool that lets you explore 2.8 million open source GitHub...
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Data Science is a Team Sport

Sadie Bascom | 04.20.17

Don't make the mistake of hiring a data scientist without the right supporting roles. Learn how business intelligence analysts and data engineers are part of the...
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Four Ways Data Science is Valuable for...

Nikki Castle | 04.18.17

eCommerce businesses can typically track every part of their customers' experience. Learn about four key ways that data science and predictive modeling can turn...
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Trends in Open Source Libraries for Natural...

Nikki Castle | 04.13.17

Selecting the best open source tools for enterprise-level data science is challenging. Learn about the most popular libraries for natural language processing with...
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DataScience Trends: A New Tool For Exploring...

DataScience Staff | 04.11.17

Learn why we built DataScience Trends, a new interactive tool for exploring and visualizing data from 2.8 million open source repositories on GitHub. DataScience...
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3 Business Applications for Natural Language...

Nikki Castle | 04.06.17

Natural language processing enables data-savvy businesses to extract valuable information from text data. Find out three key business applications for these...
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O'Reilly Video Series: Natural Language...

DataScience Staff | 04.04.17

In this new three-part video series on O'Reilly Media, Data Scientist Aaron Kramer explains how to use the Python package SpaCy for natural language processing.
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8 Best Practices in Data Science

Zohaib Mohammad | 03.30.17

Committing to these eight data science best practices will help maximize the impact your data scientists' work has on decision making in your business.
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6 Reasons Data Modeling Fails

DataScience Staff | 03.28.17

Predictive data modeling allows companies to make smarter business decisions, but it's a complicated process that can be tough to implement effectively. Find out...
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Resources

data-science-platform

What Is a Data Science Platform and How Do I Choose One?

learn-data-science-customer-lifetime-value-identifying-understanding-valuable-customers

Identifying and Understanding Your Highest Value Customers