Machine learning is a branch of artificial intelligence (AI) that focuses on the development of algorithms that can learn from and make predictions or decisions based on data. It is a subset of AI that aims to enable machines to perform tasks without being explicitly programmed.
Key Concepts
- Supervised Learning: This is a type of machine learning where the algorithm learns from a labeled dataset. The goal is to predict the output variable based on the input variable.
- Unsupervised Learning: In unsupervised learning, the algorithm is given data without explicit instructions on what to do with it. The goal is to find structure in the data.
- Reinforcement Learning: This is a type of machine learning where an agent learns to make decisions by performing actions in an environment to achieve a goal.
Applications
Machine learning has a wide range of applications, including:
- Natural Language Processing: Used in chatbots, virtual assistants, and language translation.
- Image Recognition: Used in self-driving cars, security systems, and medical diagnostics.
- Predictive Analytics: Used in stock market analysis, customer behavior prediction, and fraud detection.
Machine Learning Workflow
For more information on machine learning, you can visit our Machine Learning Resources.