Other common machine learning regression algorithms (short of neural networks ... GMM (Gaussian Mixture Models), and HAC (Hierarchical Agglomerative Clustering). Dimensionality reduction is ...

Which is your favorite Machine Learning Algorithm? originally appeared on Quora: the knowledge sharing network where compelling questions are answered by people with unique insights. Answer by ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

Machine learning is hard. Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of ...

Human programmers don't teach machine learning systems how to solve problems, nor do they generally understand the algorithm that a computer devises based on the data. Here is a brief introduction ...

Very basically, a machine learning algorithm is given a “teaching set” of data, then asked to use that data to answer a question. For example, you might provide a computer a teaching set of ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation ...