Overfitting & Underfitting: The Goldilocks Problem of Machine Learning

Описание: In this video, I explain how Training, Validation and Testing works using intuitive animations. I start by discussing why we need Training, Validation and Test Datasets, followed by an explanation of Tranining the weights on the Training dataset and Tuning the hyperparameters by checking the performance on the Validation set, and finally checking the performance on the Test set, I provide a clear visualization of the these process.

Then after all this i have introduced the concepts of Underfitting and overfitting followed by the Ideal Training_validation-Testing split, then i have briefly introduced the Bias and Variance.

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Tools used:-
Manim (Python library by 3Blue1Brown) for all visuals
Adobe Premiere Pro for editing and Audition for sound recording and editing.

#Testing #aiml #ML #machinelearning