Self-Driving Apps - Using Machine Learning and AI to Improve App Performance
Explore machine learning and AI applications in app development through this 29-minute conference talk from Playtime San Francisco 2017. Discover real-world examples of developers successfully leveraging these technologies to enhance app and game performance. Dive deep into Instacart's case study, examining how they utilize machine learning for various aspects, including logistics and growth. Learn about the three-step workflow for training ML models, understand the value of machine learning in solving complex business problems, and gain insights into encoding techniques for product recommendations. Examine the challenges of the traveling salesman problem in the context of grocery picking, and get an introduction to TensorFlow architecture. Presented by Kevin Fives from Google Play and Montana Low from Instacart, this talk provides valuable insights for developers looking to integrate AI and machine learning into their applications.