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This podcast episode provides a snippet of Cognilytica’s AI and ML education from our Cognilytica Education Subscription. When creating ML models it’s important to focus on model evaluation and testing and evaluating AI models vs. the heuristic. This podcast is an excerpt from our Cognilytica Education course “Model Evaluation and Testing”. In this clip we discuss what is overfit and underfit and bias and variance of data. We also discuss the importance of tuning models, what it means, and why it matters, and optimizing the hyperparameters to address the issues of overfit and underfit.
If you’re looking for more comprehensive explanations and education on this we encourage you to sign up for our Cognilytica education where you can take the Model Evaluation and Testing course as well as our 50+ additional courses.
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