2️⃣Types of Machine Learning
Machine Learning can be broadly classified into three categories: Supervised Learning, Unsupervised Learning, and Reinforcement Learning
Supervised Learning: In supervised learning, the algorithm is trained on a labeled dataset, and it learns to predict the output for new input data. Examples of supervised learning tasks include regression and classification.
Unsupervised Learning: In unsupervised learning, the algorithm is not provided with labeled data and is trained to find patterns or relationships in the input data. Examples of unsupervised learning tasks include clustering and dimensionality reduction.
Reinforcement Learning: In reinforcement learning, the algorithm learns by interacting with its environment and receiving feedback in the form of rewards or penalties.
Analogy:
An analogy that can be used to explain the types of Machine Learning is to think of it as different types of teachers.
Supervised Learning is like having a strict and experienced teacher who provides the student with clear instructions and feedback. The student learns by following the teacher's instructions and correcting their mistakes. In the same way, supervised learning algorithms are provided with labeled data and learn to make predictions or decisions based on that data.
Unsupervised Learning is like having a more hands-off teacher who provides the student with resources and guidance, but allows the student to discover and explore on their own. The student learns by finding patterns and relationships in the data. Similarly, unsupervised learning algorithms are not provided with labeled data and learn to find patterns or relationships in the input data.
Reinforcement Learning is like having a coach who provides the student with feedback and rewards or penalties based on their performance. The student learns by interacting with the environment and adjusting their actions based on the feedback. Reinforcement learning algorithms learn by interacting with their environment and receiving feedback in the form of rewards or penalties.
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