Learning Material
Last updated
Last updated
To successfully build AI agents, it's crucial to equip yourself with the right knowledge and resources. Here's a curated list of popular and effective resources you can leverage:
Deep Reinforcement Learning Nanodegree (Udacity):
Artificial Intelligence A-Z™: Learn How To Build An AI (Udemy):
Stanford CS221: Artificial Intelligence: Principles and Techniques:
Introduction to Artificial Intelligence with Python (HarvardX):
Artificial Intelligence: A Modern Approach (Russell and Norvig):
Reinforcement Learning: An Introduction (Sutton and Barto):
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (Géron):
TensorFlow:
PyTorch:
Scikit-learn:
Rasa:
Reddit: r/artificialintelligence: [invalid URL removed]
Reddit: r/MachineLearning:
Stack Overflow:
Hugging Face Forums:
Research Papers: You can find research papers on platforms like arXiv () and Google Scholar ()
Blogs and Websites: Some popular AI blogs include OpenAI Blog (), Towards Data Science (), and Machine Learning Mastery ()
GitHub Repositories: Search for AI-related projects on GitHub ()