Artificial Intelligence: Reinforcement Learning in Python

Colleagues, the “Artificial Intelligence: Reinforcement Learning in Python” will provide you with a complete guide to Reinforcement Learning, with Stock Trading and Online Advertising Applications. [112 lectures • 14 hours 41 minutes of training]. Apply gradient-based supervised machine learning methods to reinforcement learning. Understand reinforcement learning on a technical level. Understand the relationship between reinforcement learning and psychology. Implement 17 different reinforcement learning algorithms. Understand important foundations for OpenAI ChatGPT, GPT-4. Skill-based training modules include: 1) Return of the Multi-Armed Bandit, 2) High Level Overview of Reinforcement Learning, 3) Markov Decision Processes, 4) Dynamic Programming, 5) Monte Carlo, 6) Temporal Difference Learning, 7) Approximation Methods, 8) Interlude: Common Beginner Questions, 8) Stock Trading Project with Reinforcement Learning, 9) Setting Up Your Environment (FAQ by Student Request), 10) Extra Help With Python Coding for Beginners (FAQ by Student Request), 11) Effective Learning Strategies for Machine Learning. 

Enroll today (teams & executives are welcome): https://tinyurl.com/2xpw6ts4 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)