Tag: #ModelTraining
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Understanding Model Selection & Evaluation
Model selection and evaluation are crucial steps in the machine learning pipeline. It involves choosing the best model for a given task, tuning hyperparameters, and assessing the model’s performance. In this blog post, we will explore several aspects of model selection and evaluation, including cross-validation, hyperparameter tuning, model persistence, validation curves, and learning curves. 1.…
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Understanding Support Vector Machines (SVMs) in Depth
Support Vector Machines (SVMs) are a powerful class of supervised algorithms used for both classification and regression tasks. In this blog post, we will delve into the intuition behind SVMs and their application in solving classification problems. Motivation To begin, let’s consider a simple classification task with well-separated classes. We’ll generate some synthetic data with…