article thumbnail

What is NLP? Natural language processing explained

CIO Business Intelligence

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. Licensed by MIT, SpaCy was made with high-level data science in mind and allows deep data mining.

article thumbnail

eCommerce Companies Use AI to Ensure their Sites Are ADA Compliant

Smart Data Collective

However, we have witnessed a significant uptick in ADA cases being filed against website owners since 2017. between Q1 of 2017 and Q1 of 2018. Use a machine learning tool to automate compliance. Of course, you also have to follow the ADA guidelines to avoid a costly lawsuit. That’s a lot of cash!

Insiders

Sign Up for our Newsletter

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

article thumbnail

Make Your Investment in Analytic Technology Pay Off With Decision Requirements Modeling

Decision Management Solutions

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). 1 MIT Sloan Management Review September 06, 2017.

article thumbnail

Transforming Credit and Collection with Predictive Analytics

BizAcuity

is delinquent as of June 30th, 2017. Today, it’s no secret that most forward-thinking businesses are keenly following the latest developments on big data, artificial intelligence, machine learning, and predictive analytics. According to a Federal Bank report, more than $600 billion of household debt in the U.S.

article thumbnail

The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

They trade the markets using quantitative models based on non-financial theories such as information theory, data science, and machine learning. Whether financial models are based on academic theories or empirical data mining strategies, they are all subject to the trinity of modeling errors explained below.

Modeling 136
article thumbnail

PODCAST: COVID19 | Redefining Digital Enterprises – Episode 12: How AI is rapidly transforming the enterprise landscape in the post-COVID world

bridgei2i

She’s the founder and CEO of StatWeather, a company, which was recognized as number one in climate technology globally in the year, 2017, by the Energy Risk Awards. So, this can include mobile apps, blockchain, even machine learning and entire automation of systems. Not just that. Ria Persad, Founder & CEO StatWeather.

article thumbnail

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

Machine Learning algorithms often need to handle highly-imbalanced datasets. note that this variant “performs worse than plain under-sampling based on AUC” when tested on the Adult dataset (Dua & Graff, 2017). A weighted nearest neighbor algorithm for learning with symbolic features. Machine Learning, 57–78.