How to Learn AI for Free | Best Resources in 2020

TL;DR

The video provides a list of free resources for learning AI, including a popular Stanford course on Coursera, free courses from fast.ai, a recommended book, and a textbook on reinforcement learning.

Transcript

what's up everybody Phil here in this video I'm going to show you some resources to get started and learning AI or free let's get to it number one is the infamous Stanford AI course hosted on Coursera taught by none other than the original gangster and ring this is concretely one of the best intro level courses on AI you can take the course complet... Read More

Key Insights

• 👋 The Stanford AI course on Coursera is highly recommended as one of the best intro level AI courses.
• ❓ Fast.ai courses offer a top-down approach and a supportive community.
• 📔 The "Deep Learning" book by Ian Goodfellow provides depth and breadth in AI learning.
• ❓ The textbook "Reinforcement Learning" by Sutton & Barto is a comprehensive resource for understanding modern deep reinforcement learning.
• 📔 The resources mentioned cover topics such as linear algebra, deep neural networks, and reinforcement learning, among others.
• 🛻 MATLAB programming language is used in the Stanford AI course but is easy to pick up.
• ❓ The fast.ai courses encourage finding and cleaning your own datasets.

Questions & Answers

Q: What is the recommended AI course on Coursera?

The recommended AI course on Coursera is the Stanford AI course, taught by the original creator, which covers various AI topics and can be taken for free or with a paid certificate option.

Q: What is special about the fast.ai courses?

Fast.ai courses take a top-down approach, allowing learners to use models to achieve results before diving into the how and why. The courses offer coding exercises and a helpful community.

Q: What makes the "Deep Learning" book a good resource?

The "Deep Learning" book by Ian Goodfellow is offered for free online and provides comprehensive content and mathematical analysis. It complements the other resources by offering depth and breadth in AI learning.

Q: Which textbook is recommended for learning reinforcement learning?

The recommended textbook for learning reinforcement learning is "Reinforcement Learning" by Sutton & Barto. It covers the foundations of reinforcement learning, including topics like Markov decision processes and dynamic programming.

Summary & Key Takeaways

• The video recommends the Stanford AI course on Coursera, taught by the original creator, as one of the best intro level courses on AI, covering various topics and offering a free option or a paid certificate option.

• The video also suggests fast.ai courses, which use a top-down approach and provide ample coding exercises and a supportive community.

• Additionally, the video mentions the "Deep Learning" book by Ian Goodfellow, which complements the other resources by offering in-depth content and mathematical analysis.

• Lastly, the video recommends the textbook "Reinforcement Learning" by Sutton & Barto, covering the foundations of modern deep reinforcement learning.