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

Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...

Overview Python projects in 2026 emphasize hands-on learning through real-world use cases rather than purely academic examples.Beginner projects focus on logic ...

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

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.

Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...

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

Hemanth Kumar Padakanti transformed Angi's AI capabilities by architecting a secure, automated MLOps platform that reduced ...

Test vendors use AI and machine learning to handle massive data volumes from complex electronics and detect hard-to-find ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R, databases and big-data stats. These are all free to audit, and enrolment ...

Elecrow “All-in-One Starter Kit for ESP32-P4” is an open-source learning and prototyping platform based on the ESP32-P4 ...