International Conference on Machine Learning

Researchers Fusion is honored to invite you to the 8th International Conference on Machine Learning (Machine Learning 2025), scheduled to take place on April 24,25 in Dubai, UAE. The conference theme, "Scalable Machine Learning: Deploying ML Models on Cloud Data Platforms"

Machine Learning (ML) is a branch of artificial intelligence (AI) that enables computers to learn from data and make predictions or decisions without being explicitly programmed. It is widely used in various fields such as healthcare, finance, marketing, and robotics.

Types of Machine Learning
Supervised Learning – The model learns from labeled data, meaning input-output pairs are provided.

Examples: Linear Regression, Decision Trees, Support Vector Machines (SVMs), Neural Networks.
Applications: Spam detection, medical diagnosis, stock price prediction.
Unsupervised Learning – The model works with unlabeled data and identifies patterns or structures.

Examples: K-Means Clustering, Principal Component Analysis (PCA), Autoencoders.
Applications: Customer segmentation, anomaly detection, recommendation systems.
Reinforcement Learning – The model learns through trial and error by interacting with an environment and receiving rewards or penalties.

Examples: Q-Learning, Deep Q Networks (DQN), Policy Gradient Methods.
Applications: Robotics, game AI (e.g., AlphaGo), autonomous driving.
Popular Machine Learning Algorithms
Linear Regression – Used for predicting numerical values.
Logistic Regression – Used for binary classification problems.
Decision Trees & Random Forests – Used for both classification and regression tasks.
Support Vector Machines (SVMs) – Used for classification and regression.
Neural Networks – Used in deep learning applications such as image recognition and natural language processing (NLP).
Applications of Machine Learning
Healthcare – Disease prediction, medical image analysis.
Finance – Fraud detection, stock market analysis.
E-commerce – Personalized recommendations, customer behavior analysis.
Self-driving Cars – Object detection, route optimization.

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