Note: this post in its present state is a placeholder for a later transcription of my talk at the 2018 ML4All machine learning conference in Portland, OR. It contains references to material, code and image credits related to my talk. Ultimately, it represents one technologist’s (my) fumblings towards an understanding of how to apply machine learning, and a collection of breadcrumbs aimed at helping other technologists make a similar exploration.
General Reference links
https://www.npr.org/sections/ed/2017/12/12/568378251/does-preschool-pay-off-tulsa-says-yes Amazing study on the long-term effects of attending preschool… <soapbox>why is federal funding for preschool so low??? </soapbox>
For the annual vintage scores for Cote de Nuits Burgundy, I used an average of scores from Robert Parker and Wine Spectator.
https://www.robertparker.com/resources/vintage-chart — source of annual regional scores
http://www.winespectator.com/vintagecharts/search/id/30 — source of annual regional scores
https://learn.winecoolerdirect.com/life-cycle-of-a-wine-grape/ — annual cycle of winegrape maturity
https://en.wikipedia.org/wiki/Growing_degree-day — what the heck is GDD
https://en.wikipedia.org/wiki/Winkler_index — how the heck do you apply GDD to grape growing and ultimately winemaking
http://www.oregonwinepress.com/article?articleId=783 — specific growing degree day information for pinot noir grapes
Machine Learning-specific Links
https://www.quora.com/Why-is-Machine-Learning-difficult-to-understand — provided the beginning of my approaching ML framework
http://dataconomy.com/2016/03/the-perfect-pairing-machine-learning-and-wine/ — prior work that pointed me in the right direction
https://github.com/ZuzooVn/machine-learning-for-software-engineers — awesome collection of links
This is my attempt at implementing a multiple linear regression supervised learning algorithm on my own. And by on my own, I mean, I followed a recipe almost to the letter.
(THANK YOU to my fellow flickr users for making your images available through the Create Commons license)
Machine Learning Algorithm - Backbone of emerging technologies
Machine learning is a method of data analysis that automates analytical model building. It is inherently different…