Minimaxir.com Website Review

max woolf (@minimaxir) is a data scientist at buzzfeed in san francisco. he is also an ex-apple employee and carnegie mellon thanks to a few new synergies within gcp products, it's possible to get the cost of running a scheduled task down to less than a dollar a thanks to a few new synergies within gcp products, it's possible to get the cost of running a scheduled task down to less than a dollar a. things about real-world data science not discussed in moocs and thought pieces. moocs and thought pieces overfit to a certain style of data science that is not robust to the vast uncertainties of the real world.. things about real-world data science not discussed in moocs and thought pieces. problems with predicting post performance on reddit and other link aggregators. the nature of algorithmic feeds like reddit inherently leads to a survivorship bias: although users may recognize certain types of posts that appear on the front page, there are many more which follow the same patterns but fail.. problems with predicting post performance on reddit and other link aggregators. the nature of algorithmic feeds like reddit inherently leads to a survivorship bias: although users may recognize certain types of posts for imdb's big-but-not-big data, you have to play with the data smartly, and both r and ggplot2 have neat tricks to do just that.. how to quickly train a text-generating neural network for free. train your own text-generating neural network and generate text whenever you want with just a few clicks!. how to quickly train a text-generating neural network for free. although visualizing basketball shots has been done before, this time we have access to an order of magnitude more public data to do some although visualizing basketball shots has been done before, this time we have access to an order of magnitude more public data to do some copyright © 2018 max woolf. all rights reserved. minimaxir.com is powered by jekyll and github pages.