Natural Language Processing (NLP)(15%)

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Deep Reinforcement Learning(8%)

Deep Reinforcement Learning(8%)

~Deep Q Network (DQN)
~Deep Q-Learning
~Actor-Critic and Policy Gradient
~Method Learning DDPG, TD3, and SAC

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Essential Machine Learning(13%)

Essential Machine Learning(13%)

~Machine Learning and Python
~Supervised Learning: Classification and Regression
~Unsupervised Learning: Detecting Patterns
~Dimensionality Reduction
~Visualizing Data for Machine Learning

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Reinforcement Learning (RL)(15%)

Reinforcement Learning (RL)(15%)

~Reinforcement Learning
~Bellman Equation and Dynamic Programming
~Monte Carlo (MC) Methods
~Temporal Difference Learning
~Multi-Armed Bandit(MAB) Problem

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