Conventional metrics used to evaluate stocks may not apply to technology stocks. We used machine-learning techniques to analyze the associations between over a hundred financial metrics and historical ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

For anyone managing IT ops, setting performance thresholds has been a big, and tedious, part of the job. I mean, if you don’t tell the system that 8,000 server calls in an hour is way too many, how’s ...

Scikits are Python-based scientific toolboxes built around SciPy, the Python library for scientific computing. Scikit-learn is an open source project focused on machine learning: classification, ...