Machine learning is a method of teaching computers to learn and make decisions on their own, without being explicitly programmed. It is a subfield of artificial intelligence that focuses on the development of algorithms that can analyze and make predictions or decisions based on data. Learn Machine learning

Machine learning

There are various types of machine learning, including:

  1. Supervised learning: This involves training a model on labeled data, where the correct output is provided for a given input. The model is then able to make predictions on new, unseen data.
  2. Unsupervised learning: This involves training a model on unlabeled data, and the model must find patterns and relationships in the data on its own.
  3. Semi-supervised learning: This involves training a model on a mix of labeled and unlabeled data.
  4. Reinforcement learning: This involves training a model to make decisions in a dynamic environment by maximizing a reward signal.

Machine learning algorithms are used in a wide range of applications, including image and speech recognition, natural language processing, and predictive modeling.

 

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