Mon.Aug 27, 2018

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Sea change: What happens when Jupyter becomes pervasive at a university?

O'Reilly on Data

Fernando Perez talks about UC Berkeley's transition into an environment where many undergraduates use Jupyter and the open data ecosystem as naturally as they use email. Continue reading Sea change: What happens when Jupyter becomes pervasive at a university?

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GDPR and a history of regulation-driven innovation

IBM Big Data Hub

Changes in rules and regulations create a fertile environment for innovation, in sports and in business. You just have to know where to look and approach things with an open mind.

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Disease prediction using the world's largest clinical lab data set

O'Reilly on Data

Cristian Capdevila explains how Prognos is predicting disease. Continue reading Disease prediction using the world's largest clinical lab data set.

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Specificity is the Soul of Data Narrative

Juice Analytics

The folks in the front of the room stared with a forced intensity at (what must have been) the 23rd straight slide showing data about website performance. Their glazed eyes would have been entirely evident if the speaker wasn’t so intently focused on pointing out the change in bounce rate between August and July. In the back of the room, Brian wasn’t able to summon the energy to care.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Jupyter notebooks and the intersection of data science and data engineering

O'Reilly on Data

David Schaaf explains how data science and data engineering can work together to deliver results to decision makers. Continue reading Jupyter notebooks and the intersection of data science and data engineering.

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How consistent data governance helps eliminate "Garbage In, Garbage Out"

IBM Big Data Hub

Are your efforts to leverage big data hampered by poor or outdated data management? .

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Beyond interactive: Scaling impact with notebooks at Netflix

O'Reilly on Data

Michelle Ufford shares how Netflix leverages notebooks today and describes a brief vision for the future. Continue reading Beyond interactive: Scaling impact with notebooks at Netflix.

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The future of data-driven discovery in the cloud

O'Reilly on Data

Ryan Abernathey makes the case for the large-scale migration of scientific data and research to the cloud. Continue reading The future of data-driven discovery in the cloud.

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Democratizing data

O'Reilly on Data

Tracy Teal explains how to bring people to data and empower them to address their questions. Continue reading Democratizing data.

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