What is machine learning
Machine learning is a field of artificial intelligence that involves the development of algorithms and statistical models that enable computers to learn from data and improve their performance on a specific task without being explicitly programmed. It involves feeding large amounts of data into a model, which then makes predictions or decisions without being explicitly programmed to perform the task.
There are several types of machine learning, including:
Supervised learning: This type of machine learning involves training a model on labeled data, where the correct output is provided for each input. The model then uses this information to make predictions on new data.
Unsupervised learning: This type of machine learning involves training a model on unlabeled data, where the output is not provided. The model then tries to identify patterns or structures in the data.
Semi-supervised learning: This type of machine learning is a combination of supervised and unsupervised learning, where the model is trained on a small amount of labeled data and a larger amount of unlabeled data.
Reinforcement learning: This type of machine learning involves training a model through trial and error, where the model learns from the consequences of its actions.
Machine learning is used in a wide range of applications, including image and speech recognition, natural language processing, self-driving cars, and recommendation systems.
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