Machine learning gets a lot of buzz. The two most talked about classes of algorithms are classification and clustering. Classification is assigning things a label.

With deep learning, there is more than one layer in the neural network; so at the end of the day, the question is not how to differentiate between machine learning and deep learning.

Deep learning is so popular today due to two main reasons. First it was discovered that CNNs run much faster on GPUs, such as NVidia‘s Tesla K80 processor. Secondly, data scientists realized that the ...

What are the differences between econometrics, statistics, and machine learning? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and ...

Improved Interpretability of Machine Learning Model Using Unsupervised Clustering: ... Support vector machine is a robust supervised learning method for classification and regression problems. ...

Novel machine learning-based cluster analysis method that leverages target material property New cluster analysis technique for grouping materials based on both basic features and targeted properties ...