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src/AI/AI-Deep-Learning.md

@@ -435,4 +435,3 @@ Moreover, to generate an image from a text prompt, diffusion models typically fo
 
 
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src/AI/AI-Model-Data-Preparation-and-Evaluation.md

@@ -240,4 +240,3 @@ The confusion matrix can be used to calculate various evaluation metrics, such a
 
 
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src/AI/AI-Reinforcement-Learning-Algorithms.md

@@ -77,4 +77,3 @@ SARSA is an **on-policy** learning algorithm, meaning it updates the Q-values ba
 On-policy methods like SARSA can be more stable in certain environments, as they learn from the actions actually taken. However, they may converge more slowly compared to off-policy methods like Q-Learning, which can learn from a wider range of experiences.
 
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src/AI/AI-Supervised-Learning-Algorithms.md

@@ -1028,3 +1028,4 @@ Ensemble methods like this demonstrate the principle that *"combining multiple m
 - [https://medium.com/@sarahzouinina/ensemble-learning-boosting-model-performance-by-combining-strengths-02e56165b901](https://medium.com/@sarahzouinina/ensemble-learning-boosting-model-performance-by-combining-strengths-02e56165b901)
 
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src/AI/AI-Unsupervised-Learning-Algorithms.md

@@ -457,4 +457,3 @@ Here we combined our previous 4D normal dataset with a handful of extreme outlie
 
 
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