Machine Learning Fundamentals

Machine Learning is a branch of artificial intelligence (AI) that focuses on building systems that can learn from data. It's a rapidly growing field with applications in various industries such as healthcare, finance, and technology.

Key Concepts

Supervised Learning: A type of machine learning where the algorithm learns from labeled data.
Unsupervised Learning: A type of machine learning where the algorithm learns from unlabeled data.
Reinforcement Learning: A type of machine learning where the algorithm learns from interactions with the environment.

Applications

Image Recognition: Used in facial recognition, medical imaging, and autonomous vehicles.
Natural Language Processing (NLP): Used in chatbots, translation services, and sentiment analysis.
Recommendation Systems: Used in e-commerce, streaming services, and social media.

Resources

For more in-depth learning, check out our Machine Learning Tutorial.

Getting Started

If you're new to machine learning, we recommend starting with Introduction to Python.