Resources

Books:
- “Artificial Intelligence: A Guide for Thinking Humans” by Melanie Mitchell
- “Superintelligence: Paths, Dangers, Strategies” by Nick Bostrom
- “Python Crash Course: A Hands-On, Project-Based Introduction to Programming” by Eric Matthes
- “The Hero with a Thousand Faces” by Joseph Campbell for understanding storytelling structures
Online Courses:
- “Deep Learning Specialization” by Andrew Ng on Coursera
- “Intro to Artificial Intelligence” by Sebastian Thrun and Peter Norvig on Udacity
- “Learn Python Programming Masterclass” on Udemy
Blogs and Websites:
- OpenAI Blog for the latest advancements and research in AI
- Towards Data Science for interesting articles on AI and data science
- Kaggle for datasets and AI competitions
- Storytelling With Data for understanding how to tell a story using data
Podcasts:
- “Artificial Intelligence (AI Podcast)” with Lex Fridman
- “DataFramed” by DataCamp
- “The Storyteller’s Guide to the Virtual Reality Audience”
Tools:
- TensorFlow and PyTorch for machine learning and AI
- Anaconda for managing Python environments and packages
- Google Colab for running Python code in the cloud
Communities:
- StackOverflow for programming help
- r/MachineLearning on Reddit for discussions on machine learning
- AI Alignment community for discussions about the alignment problem in AI