Overview Python bootcamps in 2026 will focus more on real-world projects, AI tools, and job-ready skills rather than theory ...

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

The best new features and fixes in Python 3.14 Released in October 2025, the latest edition of Python makes free-threaded ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

Discover the best tools to keep your resolutions on track with gamified habits, smart organization, and built-in ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...