Fraud Detection Models
Understanding the intricacies of fraud detection models is crucial for effective analysis. By training on both legitimate and fraudulent transactions, the model learns to minimize loss through gradient descent, ultimately improving its accuracy. The process involves evaluating outputs against actual labels, allowing for continuous refinement of parameters to enhance performance.In this clip
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Software Engineering Radio - the podcast for professional software developers
SE Radio 594: Sean Moriarity on Deep Learning with Elixir and Axon
Related Questions
What is the role of loss functions in machine learning?
What is the process of training a machine learning model?
What is the process of training a machine learning model as discussed in the episode SE Radio 594: Sean Moriarity on Deep Learning with Elixir and Axon and the clip Training Machine Learning Models?