We have previously discussed several supervised learning algorithms ... recognition problems in biology and medicine 1. SVM and kNN exemplify several important trade-offs in machine learning ...

Machine learning is enabling investors to tap huge data sets such as social media postings in ways that no mere human could. Yet, despite the enormous potential, its record remains mixed.

One of the main reasons is that many loss functions are too sensitive to sample points far from their classes. In this paper, ...

Machine learning is a branch ... the most common algorithms are Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, and Support Vector Machine (SVM). You can also use ensemble ...