In this tutorial on ‘Machine Learning’, you will learn about Q Learning in Reinforcement Learning Algorithms, Bellman’s Equation, and more.
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Timestamps
0:34 What is Q Learning?
1:39 Q Learning Ad Suggestion
2:47 Some Important Terms
3:47 Bellman’s Equation
4:58 Steps in Q Learning
6:48 Q Learning Example
In this video, we’ll dive deep into the concepts of Q Learning and its role in machine learning. We’ll explain machine learning models, including their applications and implementations. Perfect for anyone attending machine learning classes or preparing for algorithm important questions. In this series, you will learn all types of Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Reinforcement Learning, KNN, Decision Tree, Linear Regression, Support Vector Machine, Random Forest, Naive Bayes, Logistic regression, K means clustering, Hierarchical clustering, Anomaly detection, Q learning, Deep Q Networks, and more.
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