Applying machine learning algorithms and libraries: Standard implementations of machine learning algorithms are available through libraries, packages, and APIs (such as scikit-learn, Theano, Spark ...

Cheat Sheet: 5 Things Everyone Should Know About Machine Learning. ... A machine learning algorithm is given a “teaching set” of data, then asked to use that data to answer a question.

As a Python library for machine learning, with deliberately limited scope, Scikit-learn is very good. It has a wide assortment of well-established algorithms, with integrated graphics.

The Scikit-learn Python framework has a wide selection of robust machine learning algorithms, but no deep learning. If you’re a Python fan, Scikit-learn may well be the best option for you among ...

In an article on Domingos’ Master Algorithm, Slate’s David Auerbach notes that “even within computer science, machine learning is notably opaque.” But it’s also increasingly central to ...

If you’re into data and databases and you have not heard the term “machine learning,” may I suggest that you’re not reading enough? This technology is hot and hyped, largely because it is the secret ...