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

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.

While Python has long been recognized as a go-to programming language for data science and is often used to author machine learning models, the new project focuses on clean, idiomatic Python syntax ...

The book “ Introduction to Machine Learning with Python “ present detailed practice exercises for offering a comprehensive introduction to machine learning techniques along with basics of Python.

Overview: Artificial intelligence courses in 2025 range from beginner-friendly to advanced certifications, catering to a ...

Professionals learn Python programming fundamentals, machine learning, deep learning concepts, and transformer architectures before advancing to Large Language Models (LLMs), Retrieval-Augmented ...

IBM Data Science Professional Certificate teaches Python, SQL, data visualization, and machine learning with hands-on ...

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.

Another reason self-paced learning is so effective is that it mirrors how professionals work in real life. Data science ...