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Interview: Ksenija Draskovic, Verizon on Dissecting the Anatomy of Predictive Analytics Projects
We discuss Predictive Analytics use cases at Verizon Wireless, advantages of a unified data view, model selection and common causes of failure.
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Awesome Public Datasets on GitHub
A long, categorized list of large datasets (available for public use) to try your analytics skills on. Which one would you pick?
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Interview: Bill Moreau, USOC on Evidence-based Medicine to Reduce Sports Injuries
We discuss the success of Analytics in predicting sports injuries, recent progress in concussion management and the trends in data-driven evidence-based sports medicine.
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Interview: Brad Klingenberg, StitchFix on Building Analytics-powered Personal Stylist
We discuss StitchFix, how it leverages Analytics, understanding customer preferences, and pros-and-cons of involving human judgement in the recommendation process.
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Interview: Vince Darley, King.com on the Serious Analytics behind Casual Gaming
We discuss key characteristics of social gaming data, ML use cases at King, infrastructure challenges, major problems with A-B testing and recommendations to resolve them.
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Interview: David Kasik, Boeing on Data Analysis vs Data Analytics
We discuss the impact of increasing amount of data on visualization, difference between Data Analysis and Data Analytics, motivation, trends, desired skills and more.
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Automatic Statistician and the Profoundly Desired Automation for Data Science
The Automatic Statistician project by Univ. of Cambridge and MIT is pushing ahead the frontiers of automation for the selection and evaluation of machine learning models. In general, what does automation mean to Data Science?
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Interview: David Kasik, Boeing on How Visual Analytics is Improving Aviation Safety
We discuss data visualization at Boeing, the importance of Visual Analytics, Aviation Safety improvement through Analytics and augmented reality.
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Interview: Eli Collins, Cloudera on Evolution and Future of Big Data Ecosystem
We discuss the change in Big Data priorities, risks, Big Data ecosystem, rise of data culture in organizations, challenges, advice and more.
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Interview: Arno Candel, H2O.ai on the Basics of Deep Learning to Get You Started
We discuss how Deep Learning is different from the other methods of Machine Learning, unique characteristics and benefits of Deep Learning, and the key components of H2O architecture.
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