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Not all machine learning models are the same. How do you choose the right model for the problem you want to solve? In this video, computer science student Salome Tirado, talks to the researchers at Google DeepMind to find out what kinds of models they use in their AI applications. Piotr Mirowski, a Research Scientist at Google DeepMind, gives advice about the considerations when choosing a model type to use. Download our Experience AI resources now at http://rpf.io/experienceai Chapters 00:00 Introduction: do all machine learning models work in the same way? What machine learning models do Google DeepMind use? 00:17 Vision models and neural networks to help with satellite imagery to monitor environmental issues (Skanda Koppula) 00:36 Use of reinforcement learning and neural networks to make YouTube videos smaller (Jessica Yung) 00:45 Use of a graph model used to predict the weather (Zach Eaton-Rosen) 00:54 Use of transformer models to fold proteins (Jonas Adler) 01:01 Use of neural network and reinforcement learning to move a robot (Murilo Martins) 01:12 How do you choose which model is right for your project? (Piotr Mirowski) 01:54 How can you see those decisions in the model? How a decision tree works This video's copyright is held by the Raspberry Pi Foundation, and the video is dual licensed under the YouTube Standard license and Creative Commons CC BY-SA 4.0 license.