By Matthias Döring

Ho, ho, ho, Happy Chris.. New Year? Between eating the sea of fish (as the Polish tradition requires), assembling doll houses and designing a new kitchen, I finally managed to publish the third post on My R take on Advent of Code. To keep things short and sweet, here’s the original challenge:

Rationalizing Rational Expectations. Tests and Deviations (RationalExp)We implement a test of the rational expectations hypothesis based on the marginal distributions of realizations and subjective beliefs from D’Haultfoeu …

Like in 2017 I tweeted too much and therefore was unable to rely onrtweet::get_timeline() (or rtweet::get_my_timeline()) to download mytweets so I exported data via the Tweets tab ofhttps://analytics.twitter.com/. Last year, I downloaded one file perquarter but somehow had to download one per month this time. It wasmonotonous but not horrible.

Last month, we released Federated Learning, the latest report and prototype from Cloudera Fast Forward Labs.

2018 was a fun and exciting year for natural language processing. A series of papers put forth powerful new ideas that improve the way machines understand and work with language. They challenge the standard way of using pretrained word embeddings like word2vec to initialize the first layer of a neural net, while the rest is trained on data of a particular task. Instead, these papers propose better embeddings (feature-based approach) and pre-trained models that can be fine-tuned for a supervised downstream task (fine-tuning approach).

Machine Learning in Official Statistics

Basic Infix Binary Operators (infix)Contains a number of infix binary operators that may be useful in day to day practices.

By ActiveWizards

In the previous blog post, we showed you how to string together Amazon Transcribe and Amazon Comprehend to be able to conduct sentiment analysis on call conversations from contact centers. Here, we demonstrate how to leverage AWS CloudFormation to automate the process and deploy your solution at scale.