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Robust Algorithms for Machine Learning
Machine learning is often held out as a magical solution to hard problems that will absolve us mere humans from…
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Machine Learning, Intel MKL and Shooting Space Aliens at PyCon 2017
One of the best parts of PyCon 2017 was meeting with the amazing folks from the Python community. We had…
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Building Game AI Using Machine Learning: Working with TensorFlow, Keras, and the Intel MKL in Python
Update August 29, 2017: Full source code now available on GitHub – https://github.com/ActiveState/neuroblast. Heading into PyCon, we wanted to put together something…
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ActivePython Gets a Boost with the Intel Math Kernel Library
The ActiveState team has been relentlessly improving our Python distribution each month in 2017, and May is no exception! This…
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Pandas: Framing the Data
Data science, and numerical computing, in general, has a problem: the deep linear algebra libraries deal with pure numbers in…
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Python and Tables for (Fairly) Big Data
Big Data is big these days, as more and more companies dig into their servers to find out what makes…
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Our Biggest ActivePython Release EVER
Today is a great day for ActivePython users. We’ve just included another 200 packages in our distribution making it the…
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Must-Have Python Packages for Finance
Update May 17, 2017: Python packages NumPy, SciPy, and Matplotlib are now optimized with Intel’s Math Kernel Library for better performance…
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