Following along the business segments of banking, we have covered quite a lot of data and AI techniques. We have also gone through the models with minimal use of complex formula or jargons.
AI modeling techniques
We have covered statistical models, optimization, and machine learning models. Within machine learning models, we covered unsupervised, supervised, and reinforcement learning. In terms of the type of data the supervised learning models run on, we covered structured data, images, and languages (NLP). With regard to data processing, we have also covered a number of sampling and testing approaches that help us. We will now recap the AI modeling techniques covered in the book so far:
- Starting with supervised learning, this is a technique of labeling the input data prior to processing. The model is built to learn from the labels so that labeling will be done automatically with the next set of input data. Unsupervised...
