Learn about the fundamentals and process of reinforcement learning in the field of artificial intelligence with python.
Artificial Intelligence: Reinforcement Learning in Python online certification is developed by Lazy Programmer, Artificial Intelligence and Machine Learning Engineer, Lazy Programmer Team and offered by Udemy Inc., a US-based online learning platform to help individuals boost their careers.
Artificial Intelligence: Reinforcement Learning in Python syllabus involves topics such as Markov decision processes, dynamic programming, Monte Carlo simulations, temporal difference (TD) learning (Q-Learning and SARSA), using Q-learning to create a stock trading bot, approximation method, using openAI gym, multi-brand bandit issues, explore-exploit dilemma, etc.
Artificial Intelligence: Reinforcement Learning in Python certification course is designed for the professionals working as data scientists, python programmers who have knowledge of the following topics: calculus (taking derivatives), matrix arithmetic, probability, python coding, NumPy coding, linear regression, and logistic regression as they are prerequisites for this course. Candidates who wish to enrol in the course must purchase a lifetime subscription and they can also avail the discounts available at the time of checkout.
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Udemy
After completing the Artificial Intelligence: Reinforcement Learning in Python online course, learners will get an understanding of reinforcement learning on a technological level, how reinforcement learning can benefit from gradient-based supervised machine learning approaches, learn about the link between psychology and reinforcement learning, implementation of 17 different reinforcement learning algorithms.
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