DBC – Machine Learning
- Machine learning is a field within artificial intelligence that focuses on developing algorithms that enable computers to learn from data and make predictions or decisions without explicit programming.
- It involves training models using labeled or unlabeled data, allowing the algorithms to automatically identify patterns, relationships, and trends in the data.
- Machine learning encompasses different types of learning, including supervised learning (using labeled data), unsupervised learning (finding patterns in unlabeled data), and reinforcement learning (learning through interactions and feedback).
- It employs various algorithms and models, such as linear regression, decision trees, neural networks, and clustering algorithms, to learn patterns and make predictions.
- Machine learning has diverse applications across industries, including healthcare, finance, image recognition, natural language processing, and recommendation systems, enabling automation and intelligent decision-making based on data.
