An overview of Machine Learning (ML), categorized into supervised, unsupervised, and reinforcement learning. It highlights the main algorithms and applications in fraud detection and data analysis.
Start with machine learning algorithms, from classic models like linear regression to advanced techniques like support vector machines and random forests. Learn how to apply these algorithms to solve real-world problems.
Explore notable achievements in deep learning, from image recognition to natural language processing. The article examines applications and challenges in this field.
