Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

Machine learning apps use Python’s memory-managed constructions more for the sake of organizing an application’s logic or data flow than for performing actual computation work.

Discover five powerful Python libraries that enable data scientists to interpret and explain machine learning models effectively.

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language.

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 ...

Data scientists can spend weeks tuning machine learning for specific needs. Artificial intelligence can do the job many times faster, Oracle Labs finds.

Github has grown to more than 40 million developers and its growth is getting a big boost from data science, artificial intelligence and machine learning repositories.