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Improving Churn Models

Pragmatic Applications Series: Improving Churn Models

Virtual , United States

You are a machine learning engineer at a credit card company who is responsible for building a model to predict customer churn. After building your model, you will need to...

Detecting Fraud

Pragmatic Applications: Detecting Fraud

Virtual , United States

Every year, fraud costs the global economy over $5 trillion. AI practitioners are on the front lines of this battle building and deploying sophisticated ML models to detect fraud, saving...

NLP

Pragmatic Applications: NLP Classification

Virtual , United States

From images and video to natural language and audio, unstructured data coupled with machine learning can unlock deeper AI potential and ROI for many organizations and use cases. Embeddings are...

Keeping Your Model In Production

Virtual , United States

So you have built and deployed your model into production – now what? Building a model and taking it from experimentation to production is hard — and keeping it there...