Remove 2016 Remove Metrics Remove Predictive Modeling Remove Testing
article thumbnail

Business Intelligence and the COVID-19 Pandemic

Paul Blogs on BI

Firstly, let’s talk about the data and the metrics being used to track the pandemic. The three main metrics being tracked in this pandemic are: Confirmed Cases. As more testing becomes available this first metric will increase significantly. Total Deaths. Total recovered.

article thumbnail

Techniques for Collecting, Prepping, and Plotting Data: Predicting Social Media-Influence in the NBA

Domino Data Lab

Knowing that the ultimate goal is to compare the social-media influence and power of NBA players, a great place to start is with the roster of the NBA players in the 2016–2017 season. You can add a Makefile command test that will run all of your notebooks by issuing. test: py.test --nbval notebooks/*.ipynb. In Figure 6.8,

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

GloVe and word2vec differ in their underlying methodology: word2vec uses predictive models, while GloVe is count based. Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. This test set is available at download.tensorflow.org/data/questions-words.txt.].

article thumbnail

Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

2016) for an example of this technique (LIME). Intrinsic methods – this technique is based on ANNs that have been designed to output an explanation alongside the standard prediction. After forming the X and y variables, we split the data into training and test sets. Creating a PDP for our model is fairly straightforward.

Modeling 139