Abstract: Active learning seeks to achieve strong performance with fewer training samples. It does this by iteratively asking an oracle to label newly selected samples in a human-in-the-loop manner.

Interactive platforms like Codecademy and Dataquest.io let you learn and code right in your browser, making python online ...

See how Gemini 3 and Deep Agents handle long-horizon planning, coding tasks, real workloads, and moderate token use to ...

Learn how to model and visualize geostationary orbits using GlowScript VPython. This step-by-step tutorial covers the physics, code, and visualization tips so you can build an accurate and interactive ...

Overview Books provide a deeper understanding of AI concepts beyond running code or tutorials.Hands-on examples and practical exercises make learning neural net ...

Abstract: Self-driving cars or autonomous vehicles (AVs) represent a transformative technology with the potential to revolutionize transportation. The rise of self-driving cars has driven remarkable ...

Hidden Python libraries can make data analysis faster and easier for large datasets. Tools like Polars, Dask, and Sweetviz simplify data cleaning, modeling, and visualization. Learning new Python ...

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.