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Ask a Data Scientist: Ensemble Methods

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Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who asks about ensemble methods and how you use them.

Ask a Data Scientist: Confounding Variables

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Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who asks for an explanation of confounding variables and why they’re important in data science projects.

Ask a Data Scientist: Storytelling With Data

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Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who asks about the importance of “storytelling” in data science.

Ask a Data Scientist: Data Leakage

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Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” Once a week you’ll see reader submitted questions of varying levels of technical detail answered by a practicing data scientist – sometimes by me and other times by an Intel data scientist. This week’s question is from a reader who asks for an explanation of data leakage.

Intel Rallies Thought Leaders to Rethink Data Privacy to Spur Innovation

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Intel Corporation recently convened thought leaders in technology, healthcare, education and smart cities industries to encourage action on data privacy issues. Malcolm Harkins, vice president and chief security and privacy officer for Intel, said that the potential to unlock revolutionary discoveries is at stake, and called on the industry to be more transparent and accountable when collecting and using consumer data.

Ask a Data Scientist: Unsupervised Learning

Dr. Andrew W. Wicker, Data Scientist,  Intel Corporation

Welcome back to the “Ask a Data Scientist” article series. This week’s question is from a reader who asks for an overview of unsupervised machine learning.

Ask a Data Scientist: The Data Science Process

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Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who wonders if there is a general process for conducting data science projects.

Lustre Scalability, Affordability, Manageability

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This fifth article is an editorial series that explores Lustre solutions in the cloud for an exploding commercial data universe. This week’s looks at Lustre scalability, affordability and manageability.

Ask a Data Scientist: The Bias vs. Variance Tradeoff

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Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who wants an explanation of the “bias vs. variance tradeoff in statistical learning.”

Enterprise Grade Lustre in the Clouds

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With the release of Intel® Cloud Edition for Lustre software in collaboration with key cloud infrastructure providers like Amazon Web Services (AWS), commercial customers have an ideal opportunity to employ a production-ready version of Lustre—optimized for business HPDA—in a pay-as-you-go cloud environment.