Does Intel Python Deliver?

Intel’s distribution of Python, created in collaboration with Anaconda, is billed by the hardware giant as a distribution created for performance. Specifcally, the numerical performance demanded by scientific research and machine learning. Claims are bandied about referring to Python that executes at machine-language speeds, but does Intel Python really deliver? I won’t use the word […]
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Quantum computing, edge analytics, and meta learning: key trends in data science and big data in 2019

When historians study contemporary notions of data in the early 21st century, 2018 might well be a landmark year. In many ways this was the year when Big and Important Issues – from the personal to the political – began to surface. The techlash, a term which has defined the year, arguably emerged from conversations and […]
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Effective use of RevoScaleR Transformations

As mentioned previously, several important RevoScaleR functions include provisions for transforming data within the function itself, rather than require separate steps in addition to the function call. This is advantageous, since it means that large datasets can be read once instead of having to be read repeatedly by several functions. rxImport, rxDataStep, and rxSplit support […]
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What is the Carbon Footprint of AI and Deep Learning?

Most of the recent breakthroughs in Artificial Intelligence are driven by data and computation. What is essentially missing is the energy cost. Most large AI networks require huge number of training data to ensure accuracy. However, these accuracy improvements depend on the availability of exceptionally large computational resources. The larger the computation resource, the more energy it consumes. This […]
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Using Tensorflow with R

When examining the available selection of machine learning environments, even the most ardent R user may suffer some pangs of Python envy. Most machine learning environments, such as Google’s Tensorflow, are programmed in C++ for maximum performance and maximum utilization of hardware resources such as GPUs (graphics processing units). The Tensorflow API, however, is designed […]
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