Machine learning is a branch of artificial intelligence (AI) that focuses on developing algorithms and models that enable computer systems to learn from data and make intelligent decisions or predictions without being explicitly programmed. It is a field that has gained significant attention and popularity in recent years due to its ability to solve complex problems and provide valuable insights across various industries.
How Does Machine Learning Work?
At its core, machine learning involves the following steps:
- Data Collection: Gathering relevant and high-quality data that represents the problem or domain.
- Data preprocessing: The cleaning, converting, and getting the data ready for analysis.
- Model Training: Developing an algorithm or model using the prepared data to learn patterns and relationships.
- Model Evaluation: Assessing the performance of the trained model using evaluation metrics and validation techniques.
- Model Deployment: Implementing the trained model in real-world scenarios to make predictions or decisions.
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