Neural Networks

Monte Carlo Tree Search Explained & How To Implement [With Code]

What is Monte Carlo Tree Search? Monte Carlo Tree Search (MCTS) is a decision-making algorithm that helps an agent figure…

6 days ago

Deep Deterministic Policy Gradient Made Simple & How To Tutorial In Python

Introduction Reinforcement Learning (RL) has seen explosive growth in recent years, powering breakthroughs in robotics, game playing, and autonomous control.…

3 months ago

Viterbi Algorithm Made Simple [How To & Worked-Out Examples]

Introduction Imagine trying to understand what someone said over a noisy phone call or deciphering a DNA sequence from partial…

3 months ago

Structured Prediction In Machine Learning: What Is It & How To Do It

What is Structured Prediction? In traditional machine learning tasks like classification or regression a model predicts a single label or…

4 months ago

Policy Gradient [Reinforcement Learning] Made Simple In An Elaborate Guide

Introduction Reinforcement Learning (RL) is a powerful framework that enables agents to learn optimal behaviours through interaction with an environment.…

4 months ago

The BERT Algorithm (NLP) Made Simple [Understand How Large Language Models (LLMs) Work]

What is BERT in the context of NLP? In Natural Language Processing (NLP), the quest for models genuinely understanding and…

2 years ago

Multilayer Perceptron Explained And How To Train & Optimise MLPs

What is a Multilayer perceptron (MLP)? In artificial intelligence and machine learning, the Multilayer Perceptron (MLP) stands as one of…

2 years ago

Learning Rate In Machine Learning And Deep Learning Made Simple

Machine learning algorithms are at the core of many modern technological advancements, powering everything from recommendation systems to autonomous vehicles.…

2 years ago

Link Prediction For Graph Neural Networks (GNN) Made Simple & 6 Powerful Tools

What is Link Prediction Based on Graph Neural Networks? Link prediction, a crucial aspect of network analysis, is the predictive…

2 years ago

Self-Supervised Learning Made Simple [How To Train Powerful ML Models]

What is Self-Supervised Learning? Self-supervised learning (SSL) is a machine learning technique where a model learns representations or features directly…

2 years ago