Remove 2011 Remove Modeling Remove Statistics Remove Testing
article thumbnail

What is Model Risk and Why Does it Matter?

DataRobot Blog

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. As machine learning advances globally, we can only expect the focus on model risk to continue to increase.

Risk 111
article thumbnail

Automating Model Risk Compliance: Model Validation

DataRobot Blog

Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. In summary, to ensure that they have built a robust model, modelers must make certain that they have designed the model in a way that is backed by research and industry-adopted practices.

Risk 52
Insiders

Sign Up for our Newsletter

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

article thumbnail

Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production.

article thumbnail

Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. While the field of computational linguistics, or Natural Language Processing (NLP), has been around for decades, the increased interest in and use of deep learning models has also propelled applications of NLP forward within industry.

article thumbnail

Smarter Survey Results and Impact: Abandon the Asker-Puker Model!

Occam's Razor

Bonus #2: The Askers-Pukers Business Model. If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis. Ok, maybe statistical modeling smells like an analytical skill. If these 50 pass the sniff test, send the survey. Bonus #2: The Askers-Pukers Business Model.

Modeling 127
article thumbnail

Time Series with R

Domino Data Lab

A big part of statistics, particularly for financial and econometric data, is analyzing time series, data that are autocorrelated over time. One of the most common ways of fitting time series models is to use either autoregressive (AR), moving average (MA) or both (ARMA). Chapter Introduction: Time Series and Autocorrelation.

article thumbnail

Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

He founded the project Apache Storm in 2011, which turned to be “one of the world’s most popular stream processors and has been adopted by many of the world’s largest companies, including Yahoo!, Microsoft, Alibaba, Taobao, WebMD, Spotify, Yelp” according to Marz himself. Davenport. is one of the greatest on the market.

Big Data 263