Category Archives: deep learning

Deep Learning at Google

Growing use of deep learning at Google In 2012, there was not much use of deep neural nets at Google. Over time, we built tools that other teams can pick up and use to solve their problems. The tools were … Continue reading

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Pressed Data: Best of 2016

  In Pressed Data, my Forbes.com column, I try to chronicle the evolution of digital technologies, their business impact, and the people behind the innovations, business models, and new ideas. In 2016, I covered artificial intelligence—the 60-year-old new new thing, … Continue reading

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The Deep Learning Market: $1.7 Billion in 2022

MarketsAndMarkets: The deep learning market is expected to be worth $1,722.9 Million by 2022, growing at a CAGR of 65.3% between 2016 and 2022. The deep learning market has a huge potential across various industries such as advertisement, finance, and … Continue reading

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The Role of Data in Statistical Modeling and Machine Learning

Oliver Schabenberger, EVP and CTO, SAS, on The difference between Statistical Modeling and Machine Learning: We can… distinguish statistical modeling, classical machine learning and modern machine learning by the role of the data. In statistical modeling, the data guide us to … Continue reading

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DeepBench from Baidu: Benchmarking Hardware for Deep Learning

At the O’Reilly Artificial Intelligence conference, Baidu Research announced DeepBench, an open source benchmarking tool for evaluating the performance of deep learning operations on different hardware platforms. Greg Diamos and Sharan Narang of Baidu Research’s Silicon Valley AI Lab talked … Continue reading

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Visually Linking AI, Machine Learning, Deep Learning, Big Data and Data Science

Source: Battle of the Data Science Venn Diagrams HT: KDnuggets What’s the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning? Over the past few years AI has exploded, and especially since 2015. Much of that has to do with the … Continue reading

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Gartner Hype Cycle for Emerging Technologies 2016: Deep Learning Still Missing

For the 22nd year, Gartner has released its much-discussed hype cycle report on emerging technologies, “providing a cross-industry perspective on the technologies and trends that business strategists, chief innovation officers, R&D leaders, entrepreneurs, global market developers and emerging-technology teams should … Continue reading

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