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.

Suppose you want to train a text summarizer or an image classifier. Without using Gradio, you would need to build the front end, write back-end code, find a hosting platform, and connect all parts, ...

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, ...

Learn how to build, collect, and analyze real-time data using a low-cost data acquisition device trainer and a machine learning model. This first article in a two-part hands-on tutorial will show you ...

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

A python tutor offers personalized learning, adapting to your current skill level and learning pace. Finding the right python ...

Python has a plethora of machine learning libraries, but the top 5 libraries are TensorFlow, Keras, PyTorch, Scikit-learn, and Pandas. These libraries offer a wide range of tools for various ...

Beyond big projects, doing smaller, focused exercises is super helpful. GeeksforGeeks has tons of these, covering everything ...

In this article, we first provide an overview of machine learning and clarify its difference from statistical inference. Then, we review Scikit-learn, a machine learning package in the Python ...

Antimicrobial resistance is a growing health crisis that could lead to millions of deaths by 2050, according to the World Health Organization. Antibiotics are critical for human health, but many ...