Boosting
Boosting is a machine learning technique that combines the predictions of multiple weak learners to create a strong learner, improving accuracy and handling com...
4 min read
Boosting
Machine Learning
+3
Algorithms
Decision Tree
A Decision Tree is a supervised learning algorithm used for making decisions or predictions based on input data. It is visualized as a tree-like structure where...
3 min read
AI
Machine Learning
+3
Gradient Descent
Gradient Descent is a fundamental optimization algorithm widely employed in machine learning and deep learning to minimize cost or loss functions by iteratively...
5 min read
Machine Learning
Deep Learning
+3
Q-learning
Q-learning is a fundamental concept in artificial intelligence (AI) and machine learning, particularly within reinforcement learning. It enables agents to learn...
2 min read
AI
Reinforcement Learning
+3
Reinforcement Learning
Reinforcement Learning (RL) is a subset of machine learning focused on training agents to make sequences of decisions within an environment, learning optimal be...
11 min read
Reinforcement Learning
AI
+5
Reinforcement Learning (RL)
Reinforcement Learning (RL) is a method of training machine learning models where an agent learns to make decisions by performing actions and receiving feedback...
2 min read
Reinforcement Learning
Machine Learning
+3