Though we're living through a time of extraordinary innovation in GPU-accelerated machine learning, the latest research papers frequently (and prominently) feature algorithms that are decades, in ...

SVM and kNN exemplify several important trade-offs in machine learning (ML). SVM is often less computationally demanding than kNN and is easier to interpret, but it can identify only a limited set ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

There was no significant difference in the Euler number between the two groups ... forest, naïve Bayes, k-nearest neighbor, adaptive boosting classifier. Citation: Dou R, Gao W, Meng Q, Zhang X, Cao W ...