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

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

As one of the most popular, versatile, and beginner-friendly programming langauges, Python can be used for a variety of tasks from analyzing data to building websites. This workshop builds on the ...

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, ...

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.

An extensive survey of around 30,000 developers has revealed Python is still a preferred language for many programmers, with ...

Apurva Pathak is a prominent machine learning expert and software engineer currently based in Newark, California. With a ...

His innovative research uses advanced technology (machine learning, digital image processing, remote sensing, and spatial data analysis) to solve the age-old, yet complex problems of natural resource ...

Apple’s machine learning (ML) teams quietly flexed their muscle with the release of a new ML framework developed for Apple Silicon.