Sat.Jun 17, 2017 - Fri.Jun 23, 2017

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How Faulty Data Breaks Your Machine Learning Process

Dataconomy

This article is part of a media partnership with PyData Berlin, a group helping support open-source data science libraries and tools. To learn more about this topic, please consider attending our fourth annual PyData Berlin conference on June 30-July 2, 2017. Miroslav Batchkarov and other experts will be giving talks. The post How Faulty Data Breaks Your Machine Learning Process appeared first on Dataconomy.

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Creating the safest ETH paper wallet with a Raspberry Pi

Christian Haschek

Since I got asked the question about safe storage of ETH a lot I thought I'd make a tutorial f

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How Data & IoT Technology are Changing The Way We Travel

Dataconomy

Anyone who has ever had their bag go AWOL while travelling knows that sinking feeling that comes with being told that your luggage is lost. Sadly, lost luggage is one of the perils of modern travel, and one that seems to happen on an all-too-often basis. Fortunately, just as technology. The post How Data & IoT Technology are Changing The Way We Travel appeared first on Dataconomy.

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How Deep Learning is Personalizing the Internet

Dataconomy

Deep learning is a subfield of machine learning and it comprises several approaches to tackling the single most important goal of AI research: allowing computers to model our world well enough to exhibit something like what we humans call intelligence. On a basic conceptual level, deep learning approaches share a. The post How Deep Learning is Personalizing the Internet appeared first on Dataconomy.

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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?