This is Machine Learning at Capital One

From random forests to causal models, explore how we use machine learning for better banking.

We’re creating real-time, intelligent, automated customer experiences using artificial intelligence in financial services. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking.

How We're Using AI and ML

Improving Virtual Card Numbers with Edge Machine Learning

How the Eno browser extension uses ML on device to read the DOM & pixel coordinates for a more accurate VCN experience

Automated Detection, Diagnosis & Remediation of App Failure

How machine learning enables automation of incident management at Capital One

How Machine Learning Can Help Fight Money Laundering

How a machine learning model can help identify suspicious account activity & better support anti-money laundering teams

AI and ML Priority Areas

Graph ML

Using ML on nodes and edges of financial networks to more accurately identify fraud

NLP

Teaching intelligent assistants to understand and generate natural language

Explainable AI

Creating transparency and ensuring fairness through explaining ML models

Anomaly Detection

Identifying changes in data to protect customers and adapt to fluctuating environments

Data and Privacy

Developing models and techniques for protecting sensitive customer data

ML at Scale

Building systems to scale the entire model building and deployment process

Featured Machine Learning Research

Contrastive Pre-Training

A hybrid deep learning approach to solving tabular data problems

Neural Nets for Imbalanced Data

Harnessing meta-learning to re-sample class-imbalanced data

Dynamic Customer Embeddings

Leveraging customers' digital behavior to predict session activity

Misspecification & Bayesian Bandits

How common misspecifications can lead to suboptimal rewards 

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Partnerships

Working with Leading Universities to Advance AI

We partner with the nation’s top universities to further research on AI/ML explainability, fairness and ethics.

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Events

Here, there and everywhere

We're sponsoring and attending several AI and ML conferences. Check out where we'll be next.

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Hiring

Come Work with Us

Come help us change banking for good by using technology to serve our customers quicker and more easily than ever.

Featured Machine Learning Articles

Machine Learning

Logistic Regression for Machine Learning

Simple explanation of the logistic regression algorithm, where to use it, & how it differs from linear regression

Machine Learning

Understanding TF-IDF for Machine Learning

A gentle introduction to term frequency-inverse document frequency

Machine Learning

Dynamic Customer Embeddings & Understanding Customer Intent

How sequential recommendation and representation learning can be leveraged to model customer behavior

Machine Learning

How to Fine-Tune Sentence-BERT for Question Answering

A simple tutorial on using the sentence-transformers library to fine-tune Sentence-BERT for question matching