Data Science

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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AutoTS – my new time series package for Python

I have a history of obsessing over predicting the future. Probably the first major time series project I had was in grad school, with a consulting project forecasting amusement park attendance that ultimately found a LSTM network to be most effective. Again at my first data science job, forecasting demand and sales and prices. Probably …

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A Practical Guide to Time Series Forecasting in Python

Time series, while not hard persay, is not as straight-forward at the classification and regression problems that are the bread and butter of data science. Dominant models haven’t changed much in decades. This scares us data scientists, we need the latest and greatest. No consistent open-source solutions (outside of R’s forecast) Commercial is expensive for …

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