Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts! # ...

Overview Clear prompts help machine learning models become more accurate and reliable.Role-specific prompts generate focused and practical technical answers.Det ...

This article rounds up some of the most valuable free data science courses offered by top institutions like Harvard, IBM, and ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any ...

In this work, the availability of high-resolution unmanned aerial vehicle (UAV) image detection for the detection of green tides on the Jeju coast of Korea is presented, and the classification ...

Attempts to censor AI image generators by erasing banned content (such as porn, violence, or copyrighted styles) from the trained models are falling short: a new study finds that current concept ...

Simiyu, G. W. and Mwatelah, J. (2025) Mapping Water Quality Using Remote Sensing Technology: A Case Study of Lake Victoria. Journal of Geoscience and Environment Protection, 13, 225-252. doi: ...

Overview: Building AI models begins with clear goals, clean data, and selecting appropriate algorithms.Beginners can use tools like Python, scikit-learn, and Te ...

When deploying large-scale deep learning applications, C++ may be a better choice than Python to meet application demands or to optimize model performance. Therefore, I specifically document my recent ...