Creating a new notebook Once you have Jupyter installed, you can begin training your machine learning algorithm. Start by creating a new notebook. To create a new notebook, select the folder where you ...

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

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

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

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 ...

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.

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential ...

Machine learning is hard. Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of ...