Machine learning programming is an in-demand skill. Learn how to program an ML application with Python in this tutorial.

Python is used to power platforms, perform data analysis, and run their machine learning models. Get started with Python for technical SEO.

Aspiring data-science and machine-learning developers now have more Microsoft-made free video tutorials to learn how to build software in Python, one of today's most popular and versatile ...

From bare-bones to full-blown, learn which edition of Python is best for your machine learning projects ...

This book is edited by Li Hui and Chen Yanyan, with associate editors Yang Yu, Gao Yong, Zhang Qiaosheng, Bi Ye, and Liu Dengzhi. It is rich in content, covering 32 theories and 32 practical cases, ...

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

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 ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

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

To improve accessibility, they used Google Colab, a free, cloud-based platform to write and run Python codes—which means users don't have to install software to follow the tutorial.