Welcome to the basics of machine learning! Machine learning is a subset of artificial intelligence (AI) that focuses on building systems that can learn from and make decisions based on data. In this section, we will explore the fundamentals of machine learning and how it works.
Key Concepts
Here are some key concepts in machine learning:
- Supervised Learning: A type of machine learning where the algorithm learns from labeled training 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 to make decisions by performing actions and receiving feedback in the form of rewards or penalties.
Applications
Machine learning has a wide range of applications across various industries:
- Healthcare: Predicting patient outcomes and identifying diseases.
- Finance: Fraud detection and credit scoring.
- Retail: Personalized recommendations and inventory management.
Resources
To learn more about machine learning, you might want to check out our advanced machine learning courses.
Machine Learning Process
In the next section, we will delve deeper into the types of machine learning algorithms and how they work. Stay tuned!