Data Science

All the Problems with the M6 Competition (and a few good things)

I was so excited to see the announcement of the M6 forecasting competition. For those who don’t know the M series of competitions (not to be confused with BMW cars) is a long running series of competitions for forecasting time series. It comes from the 1980’s, well predating the modern data science explosion. And this …

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Setting up and Optimizing Python for Data Science on Intel, AMD, and ARM (including Apple) Computers

Setting up a Python environment is often a pain. Even worse is that sometimes the environment, once it is finally built, is surprisingly slow because the underlying numeric libraries (BLAS, OneAPI, and so on) are improperly configured. This aims to be a fairly definitive guide to fixing those problems as of early 2022. How much …

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Anaconda is Slow on Tiger Lake – How to Get MKL-accelerated Python working on Latest Intel CPUs

While doing some benchmarking of my AutoTS package I quickly discovered a troubling trend – my newest, fanciest, most expensive Intel i7 CPUs – an Intel 10700 and 1165G7, were performing vastly slower than their older counterparts. I wasn’t terribly surprised to see the 1165G7 having issues: Tiger Lake – a brand new architecture CPU …

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