Beginner’s Guide to Reading AI & Machine Learning Books – Follow Along with a PhD Student

📖 Build your knowledge through efficient textbook reading! In this video, I'll take you through how I approach a new textbook to avoid being overwhelmed with new material and to build my knowledge foundation in a new area. I challenge you to turn off notifications, grab some coffee, and really think through how you approach technical literature. If you have strategies you love, please drop them in the comments below! I'd love to hear about them. 🌟 Chip Huyen's Best/Most Popular Books 🌟 * Designing Machine Learning Systems (Paperback) - https://amzn.to/3Dhda8u * Designing Machine Learning Systems (Kindle Edition) - https://amzn.to/3QKtJg6 * AI Engineering: Building Applications with Foundation Models (Paperback) - https://amzn.to/4haQ6Gp * AI Engineering: Building Applications with Foundation Models (Kindle Edition) - https://amzn.to/4haGFqz 💰 Budget Options * Check your university library! You may have digital access to O'Reilly Media through your student fees. Please note that this description contains affiliate links that help you find the items from the video and/or support the channel at no cost to you. It makes a huge difference when you purchase through an affiliate link so thank you very much for your support!