Machine learning is a field of computer science that gives computers the ability to learn and improve from experience without being explicitly programmed. It is one of the fastest-growing areas of technology and has applications in a wide range of fields, from healthcare to finance to transportation.
What is Machine Learning?
Machine learning is based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. There are two main types of machine learning:
- Supervised Learning: The computer is trained on a labeled dataset, meaning that each data point is paired with the correct output. The goal is to learn a mapping from inputs to outputs.
- Unsupervised Learning: The computer is given a dataset without any labels. The goal is to find patterns and structure in the data.
Common Machine Learning Algorithms
Here are some of the most common machine learning algorithms:
- Linear Regression: Used for predicting a continuous value.
- Logistic Regression: Used for predicting a binary outcome.
- Support Vector Machines (SVM): Used for classification and regression.
- Neural Networks: Used for a wide range of tasks, including image and speech recognition.
- Clustering Algorithms: Used for grouping data into clusters.
Resources
For more information on machine learning, check out our Machine Learning Tutorial.
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