Machine learning is a subset of artificial intelligence (AI) that focuses on the development of computer programs that can access data and use it to learn for themselves.
Key Concepts
Supervised Learning: This is where the machine learning model is trained on labeled data. The model learns from the input data and the corresponding output labels to make predictions.
Unsupervised Learning: In this type of learning, the model is trained on data that is not labeled. The model tries to find patterns and relationships in the data.
Reinforcement Learning: This is a type of learning where the model learns to make decisions by performing actions and receiving feedback in the form of rewards or penalties.
Applications
Machine learning is used in a wide variety of applications, including:
Image Recognition: Used in applications like facial recognition and object detection.
Natural Language Processing (NLP): Used in applications like chatbots and language translation.
Predictive Analytics: Used in applications like stock market analysis and customer behavior prediction.
Resources
For more information on machine learning, you can check out our Machine Learning Tutorial.