Data
Our take on the ideas, information, and tools that make data work.
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Trends in data, machine learning, and AI
Trends in data, machine learning, and AI
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Tools for generating deep neural networks with efficient network architectures
Tools for generating deep neural networks with efficient network architectures
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Building tools for enterprise data science
Building tools for enterprise data science
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Managing risk in machine learning
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Lessons learned while helping enterprises adopt machine learning
Lessons learned while helping enterprises adopt machine learning
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Machine learning on encrypted data
Machine learning on encrypted data
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How social science research can inform the design of AI systems
How social science research can inform the design of AI systems
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Why it’s hard to design fair machine learning models
Why it’s hard to design fair machine learning models
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Sound design and the future of experience
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Practical ML today and tomorrow
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Quantifying forgiveness
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Brain-based human-machine interfaces: New developments, legal and ethical issues, and potential uses
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Black box: How AI will amplify the best and worst of humanity
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Using machine learning to improve dialog flow in conversational applications
Using machine learning to improve dialog flow in conversational applications
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Highlights from the Strata Data Conference in New York 2018
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