Views Navigation

Event Views Navigation



Hyatt Regency San Francisco Airport

Pragmatic Applications Series: Improving Churn Models


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 monitor its performance, drift, as well as any data quality issues in production. Arize will show you how to monitor and troubleshoot performance, drift and...

Pragmatic Applications: Detecting Fraud


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 organizations billions of dollars in the process. Of course, it’s a challenging task as fraud takes many forms and attacks vectors across industries. ML teams...

Pragmatic Applications: NLP Classification


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 the core of how deep learning models represent structures and are fundamental to how the next generation of ML models work. Join this workshop to:...