This series gives you an overview and information on how to use Snap ML, an efficient, scalable machine-learning library that enables fast training of generalized linear models.
- Tutorial
Accelerate Generalized Linear Model training with Watson Machine Learning Accelerator and Snap ML
Drive online advertising click-through prediction with Watson Machine Learning Accelerator, SnapML, and AC922.
- Blog Post
Snap ML: Examples of use cases from the financial services sector
Take a look at the testing of generalized linear models (GLMs) from the Snap ML library on three different use cases that are related to the financial services sector.
- Video
Train logistic regression and random forest models for credit default prediction using Snap Machine Learning
Use the Snap Machine Learning library to accelerate the training of logistic regression and random forest models and employ the trained models to analyze credit risk.
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