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ODSC West
Hyatt Regency San Francisco Airport , United States -
Pragmatic Applications Series: Improving Churn Models
Virtual , United StatesYou 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...
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Pragmatic Applications: Detecting Fraud
Virtual , United StatesEvery 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...
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Pragmatic Applications: NLP Classification
Virtual , United StatesFrom 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:...
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FeaturedToronto Machine Learning Summit 2022
Toronto, Canada Toronto, Canada -
Pragmatic Applications: – Optimize Demand Forecasting
Virtual , United States -
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Keeping Your Model In Production
Virtual , United StatesSo 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 is even harder! How do you know your models are doing well? And how do you know when you need to retrain your model? During...
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Improve Ranking Model Performance With ML Observability
Virtual , United States -
WaiSymposium & Virtual Career Fair 2023
Virtual , United States -
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Advanced Metrics Workshop Series: AI Fairness Metrics in Production
Virtual , United States