Machine learning is revolutionizing industries by enabling computers to learn from data and make intelligent decisions. For those looking to break into this exciting field, enrolling in a Machine learning course in Pune can be a great starting point to understand its different types and applications. Let’s delve into the primary categories of machine learning.
1. Supervised Learning
Supervised learning involves training a model on a labeled dataset, meaning the input data comes with corresponding output labels. The algorithm learns to map inputs to the correct outputs, making it ideal for tasks like classification and regression. Examples include spam email detection and predicting house prices.
2. Unsupervised Learning
In unsupervised learning, the data provided to the model has no labels. The algorithm identifies patterns, structures, or clusters within the data. It’s commonly used for tasks like market segmentation and anomaly detection. Popular methods include clustering (e.g., K-Means) and dimensionality reduction (e.g., PCA).
3. Reinforcement Learning
Reinforcement learning focuses on training an agent to make decisions by interacting with an environment. The agent learns from the consequences of its actions, receiving rewards or penalties. This approach is widely used in robotics, gaming, and autonomous driving.
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