This release represents several months of fairly hard work for me. It even has a pretty, if simple documentation website that you can check out here. It features quite a number of bug fixes, including several rather critical ones that fixed cross validation not actually cross validating. As always, my biggest focus was on data […]
AutoTS 0.2.0 Release Read More »
As part of my time series forecasting package, I have invented my own algorithm. Which sounds really cool, but in reality isn’t that special. The reason it isn’t that special is it is just a combination of existing ideas applied together to this specific domain. On the positive side, the method isn’t really that difficult
Inventing My Own Algorithm – Motif Simulation Read More »
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
AutoTS – my new time series package for Python Read More »
I wrote this as notes while preparing my thoughts for a student group presentation I’m scheduled to do this week. Introduction Data science is a poorly defined field with an unclear future. Simply go on Quora, Reddit, Twitter, surf the business news, the scientific journals, and so on, and you will find opinions from those
On What Data Science Is Read More »
The first part of these instructions are generic to any vm launch (unless you use a preconfigured image) Go to the cloud service of your choice (here Microsoft Azure) and launch a VM of a size of your choosing (nothing too tiny, probably 8GB RAM minimum if doing machine learning), running Ubuntu Server (or similar).
