Code Bullet has an interesting video on reinforcement learning/evolutionary AI to learn how to play Flappy Birds. As an added bonus, he also codes up his own Flappy Birds clone.
Best of all, you won’t need a PhD in Math or years of experience. You just need imagination and the willingness to try.
After pondering some of the implications of Siraj Raval’s predictions for AI in 2019, it’s time to move learning containers to the top of my learning queue.
In this video, Damian interviews Cloud Advocate Jay Gordon at Microsoft Ignite in Berlin. Containers are still new for a lot of people and with the huge list of buzzwords, it’s hard to know where to get started. Jay shows how easy it is to get started running your first container in Azure, right from scratch.
- Demo App: https://github.com/jaydestro/demo-app
- Azure Container Registry: https://azure.microsoft.com/en-au/services/container-registry
- Azure Web App for Containers: https://docs.microsoft.com/en-us/azure/app-service/containers
- Create a Free Azure Account: https://aka.ms/c9-azurefree
Press the play button below to listen here or visit the show page at DataDriven.tv
In this Data Point recorded at a Costco during the post-holiday shopping season, Frank explains his algorithm for determining that magical point when a lot of data becomes “Big Data.” Given the constant advances in storage technologies, that borderline is a moving goalpost. Or is it?
deeplizard has a great video on learnable parameters in neural networks in PyTorch.
In this video, Siraj Raval reviews the top AI innovations of 2018 and a few predictions for 2019.