Machine learning: Python's code can implement machine learning, which helps refine algorithm-based tech from voice recognition to content recommendation.

Overview Beginner-friendly books simplify Python, R, statistics, and machine learning concepts.Practical examples and projects make data science easier to under ...

And, of course, Python is used extensively within Netflix's machine-learning algorithms for things like content recommendations, artwork personalization, and marketing.

But it’s precisely that “programming background” that makes Python the clear winner for developers or others interested in big data, artificial intelligence (AI) and deep learning algorithms.

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.

Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box!

Intel DAAL provides Python with a rich set of algorithms, ranging from the most basic descriptive statistics for datasets to more advanced data mining and machine learning algorithms.