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Evaluation and Fine Tuning | Virgilio

virgili0.github.io · 1,655 words · saved by 1 readers

Learn how to evaluate your models after the training process, which model to choose depending on your requirements, and how to investigate possible solutions if your model is not learning well.

Evaluation and Fine Tuning | Virgilio What is Virgilio? Paradiso Demystification of the key concepts of AI and ML What do I need to do Machine Learning? Do you really need Machine Learning? Machine Learning use cases Virgilio's Teaching Strategy Introduction to Machine Learning Purgatorio Fundamentals Mathematics Statistics Python Jupyter Notebook The Data Science Process Define The Scope and Ask Questions Frame the Problem Usage and Integration Starting a Data Project Workspace Setup and Cloud Computing Collect and Prepare Data Data Collection Data Preparation Data Visualization Select and Tr

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