Harmful Content Detection / Content Moderation | ML System Design Problem Breakdown скачать в хорошем качестве

Harmful Content Detection / Content Moderation | ML System Design Problem Breakdown

00:00 - Intro 03:06 - ML System Design Delivery Framework 06:43 - Problem Framing 13:06 - High Level Design 14:50 - Data and Features 23:01 - Modeling 33:44 - Inference and Evaluation 42:26 - Deep Dives 47:49 - Assessment 50:19 - Conclusion A step-by-step breakdown of Detecting Harmful Content on Faecbook. Stefan, a former Meta senior manager and current co-founder of Hello Interview, walks through the problem from the perspective of an interviewer. Connect with me on LinkedIn: Stefan:   / stefanmai   Resources: 1. Read the written version of this problem: https://www.hellointerview.com/learn/... 2. Excalidraw from the video: https://link.excalidraw.com/l/56zGeHi... 3. Learn more about our Delivery Framework for ML System Design: https://www.hellointerview.com/learn/... 4. More about the differences in ML interviews: https://www.hellointerview.com/learn/... 5. Evaluations in ML system design interviews: https://www.hellointerview.com/learn/... 6. Vote for the question you want us to do next: https://www.hellointerview.com/learn/... Preparing for an upcoming interview and want to practice with top FAANG interviewers like Stefan? Schedule a mock interview with a experienced ML interviewer: https://www.hellointerview.com/mock/s... All the best with your upcoming interview!