ML at Netflix and How to Learn Deeply - ML 120

Netflix ML engineer Amir Ziai discusses building ML tools, the pros and cons of a Netflix-like culture, and his strategy for learning. They also talk about the abundance of ideas and collaboration at Netflix, the unique and satisfying team culture, the ultimate goal of satisfaction and growth, building prototypes and accumulated knowledge, the importance of reusable code and testing in ML projects, and upcoming workshops, data lifecycle management, culture, learning, and tech stack.