Training a Machine Learning Algorithm with Python Using the Iris Flowers Dataset For this example, we will be using the Jupyter Notebook to train a machine learning algorithm with the classic Iris ...

In this video, we implement the Adam optimization algorithm from scratch using pure Python. You'll learn how Adam combines ...

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

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

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

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!

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.

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