Sat.May 05, 2018 - Fri.May 11, 2018

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How Is Data Science Transforming Web Development?

Dataconomy

Web app development is about to undergo a significant revolution triggered by the rise of data science. So far, developers have created apps based on focus groups, surveys and educated guesses about the needs and wants of users. This old way of working is biased and cannot include the input. The post How Is Data Science Transforming Web Development?

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Building a Strong Data Science Team Culture

Eugene Yan

Culture >> Hierarchy, Process, Bureaucracy.

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PyData Amsterdam 2018

Depends on the Definition

Last weekend I participated at the PyData Amsterdam 2018 Conference in, you guess it, in Amsterdam. It has been a great conference and I meet a lot of great people and had a very good time in Amsterdam.

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DataRobot Automated Machine Learning

DataRobot Blog

by Jen Underwood. DataRobot is the world’s most advanced automated machine learning platform. It empowers data analysts and data scientists to rapidly find key insights, hidden data patterns and make better predictions faster. Read More.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Food Delivery Via Drones: A Reality in Iceland

Dataconomy

Goldman Sachs predicts that a $100+ billion market opportunity for drones will exist until 2020 – and that’s not just for military usage. The aviation sector is clearly an attractive market capable of drawing in young entrepreneurial teams from across the world, such as the German startup AIRTEAM – an. The post Food Delivery Via Drones: A Reality in Iceland appeared first on Dataconomy.

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Zuckerberg’s False Promises: Examining The Ethics of Data in the Social Media Era

Dataconomy

During his appearance before the United States Senate’s Commerce and Judiciary committees, Facebook CEO Mark Zuckerberg did quite the job tiptoeing through a minefield of potentially threatening inquiries. Based on his answers, he either has no idea how the platform – which was founded controversially – works, or he blatantly. The post Zuckerberg’s False Promises: Examining The Ethics of Data in the Social Media Era appeared first on Dataconomy.

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