At DataScience.com’s second annual Elevate conference in San Francisco, data practitioners, data science managers, and executives gathered together to bridge the gap between the data science and...
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In 2018, companies will lay the groundwork for complex, collaborative data science projects that streamline operations and improve customer experiences.
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Harvard Professor of Epidemiology Tyler VanderWeele explains how the E-value measures the level of impact confounding variables play in observational studies.
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Joe Liang, synthetic biologist and data scientist, discusses how data science can help determine the correlation between genetic patterns and disease.
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Data Scientist at Synthetic Genomics Joe Liang discusses how data science is playing a crucial role in disease prediction.
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Data Engineer at Postmates Charles Bergmeier discusses how the on-demand delivery service redesigned its existing data architecture for scalability.
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Ph.D. student at Caltech Hoang Le discusses his team's research creating machine learning algorithms to streamline automated camera technology.
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Lead Data Scientist Jean René Gauthier discusses how the clumpiness index applies to e-commerce and sports, as well as the implications for business.
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Data Scientist Tuck Ngun explores the limitations and opportunities within content-based filtering and collaborative-based filtering recommendation engines.
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