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

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

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

A critical LangChain AI vulnerability exposes millions of apps to theft and code injection, prompting urgent patching and ...

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

Z.ai released its complete model weights under an MIT license, allowing developers to download and run it locally—completely ...

Here’s how an AI-powered trader earned $2.2 million on Polymarket using data models, automation and probability-based trading ...

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...

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

Overview: Artificial intelligence is rapidly transforming India’s job landscape, making AI skills increasingly valuable ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...