Pregunta de entrevista de Searchmetrics

- General questions about machine learning algorithms and models - This is an important one: How do you evaluate a model after training? Accuracy, precision, recall and F-measure - What can go wrong when training a classifier? Skewed samples, overfitting etc. - Can you use a random forest classifier to perform regression? - Explain how SVMs work - Software development tools (Git etc.) - Explain clustering by elaborating any one clustering algorithms (e.g. K-means)