This repository contains a detailed mindmap covering the fundamental concepts and advanced topics in Reinforcement Learning (RL). This mindmap was created as part of my personal learning journey to ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

By way of definition, AWS Strands is a model-driven framework (i.e. one that uses high-level designs to automatically generate code, which is often used for streamlining complex software development ...

Abstract: Network Function Virtualization (NFV) introduces a new network architecture that offers different network services flexibly and dynamically in the form of Service Function Chains (SFCs), ...

Master projectile motion simulations using Python functions! 🐍⚡ This tutorial walks you through coding techniques to model trajectories, calculate distances, and visualize motion in real time.

People are getting excessive mental health advice from generative AI. This is unsolicited advice. Here's the backstory and what to do about it. An AI Insider scoop.

In this Python Physics lesson, we explore modeling current as a function of time in RC circuits. Learn how to simulate the charging and discharging behavior of resistors and capacitors using Python, ...

Corey Schafer’s YouTube channel is a go-to for clear, in-depth video tutorials covering a wide range of Python topics. The ...

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve looked at a bunch of options, and this list should help you find the best ...

Abstract: Active learning Kriging is widely used in structural reliability analysis for its computational efficiency and accuracy. While numerous learning functions exist to accelerate Kriging ...