Machine Learning Types and Programming Languages | |||
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In the area of Machine Learning Technology, threre are three different types of Machine Learning. You should make decision which type you want to use if you are trying to implement something. In Supervised Learning, we are given the data sets and already know what our correct output should look like. Supervised learning problems are categorized into Classification and Regression. In Unsupervised Learning, unlike Supervised Learning, we provide data sets without telling the what is the label of data(what actually data is?) and ask to find the structures from the given data sets. Clustering and Cocktail Party Algorithm is used to find the structures between the given data sets. Reinforcement learning (RL) is a type of machine learning paradigm where an agent learns to make decisions by interacting with an environment. The agent learns by receiving feedback in the form of rewards or punishments based on the actions it takes. The goal of reinforcement learning is to find the optimal strategy or policy that maximizes the cumulative reward over time.
Programming Languages for Machine Learning:
Even though it's not a kind of programming language, we also need to know more about chatGPT.
Tags: Classification Clustering Cocktail Party Algorithm GPT Generative Pre-trained Transformer Java Julia Keras Machine Learning Machine Learning Types OpenCV PHP-ML Programming Languages for Machine Learning PyTorch Python Regression Reinforcement Learning Supervised Learning TensorFlow Unsupervised Learning chatGPT scikit-learn ![]() ![]() | |||
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