DataRobot Blog

AUGUST 23, 2019

Using this data, we built a historical dataset containing past results, current Elo scores (both overall and surface-specific) and tournament information, then used DataRobot to determine the best model and predict the probability that a player would win a set. The US Open has begun, and the world is watching.

Predictive Modeling 52

Predictive Modeling Marketing Analytics Modeling Data Science 52

Smarten

SEPTEMBER 9, 2024

What is a Citizen Data Scientist, What is Their Role, What are the Benefits of Citizen Data Scientists…and More! The term, ‘Citizen Data Scientist’ has been around for a number of years. In fact, the world-renowned technology research firm, Gartner, first introduced the concept in 2016.

Consulting 52

Consulting Cost-Benefit Data Science Business Intelligence 52

Domino Data Lab

OCTOBER 23, 2019

Eighty percent of this problem is collecting the data and then transforming the data. The other 20 percent is ML- and data science–related tasks like finding the right model, doing EDA, and feature engineering. Gathering the Data. there is a list of data sources to extract and transform. In Figure 6.1,

Statistics 59

Statistics Machine Learning Testing Modeling 59

Domino Data Lab

AUGUST 22, 2019

Data scientists and researchers require an extensive array of techniques, packages, and tools to accelerate core work flow tasks including prepping, processing, and analyzing data. Utilizing NLP helps researchers and data scientists complete core tasks faster. Note: Google Translate has incorporated NMT since 2016.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

The Unofficial Google Data Science Blog

MARCH 31, 2016

We have many routine analyses for which the sparsity pattern is closer to the nested case and lme4 scales very well; however, our prediction models tend to have input data that looks like the simulation on the right. A Scalable Blocked Gibbs Sampling Algorithm For Gaussian And Poisson Regression Models." 7] Nicholas A.

Modeling 40

Modeling Statistics Advertising Testing 40

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. 1 again in proposals this year.

IoT 26

IoT Big Data Data Warehouse Uncertainty 26

Domino Data Lab

AUGUST 1, 2021

Model distillation – this approach builds a separate explainable model that mimics the input-output behaviour of the deep network. Because this separate model is essentially a white-box, it can be used for extraction of rules that explain the decisions behind the ANN. 2016) for an example of this technique (LIME).

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139