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Q-learning is a type of reinforcement learning algorithm that is used to train agents to make decisions in an environment. The goal of Q-learning is to find the optimal policy, which is a mapping from states to actions that maximizes the expected long-term reward. In Q-learning, an agent interacts with an environment by taking actions and […]

Here is an example code in Python that demonstrates a simple machine learning pipeline using the scikit-learn library: In this example, we start by importing the necessary libraries from scikit-learn. Then we load the iris dataset using the datasets module and split the data into training and test sets using the train_test_split function. We then train a logistic regression […]

Artificial intelligence (AI) and machine learning (ML) are related but distinct fields. AI is a broad field that encompasses a wide range of techniques and technologies, while ML is a specific subset of AI that focuses on the development of algorithms and models that enable computers to learn from data. AI is the simulation of […]