Hi r/machinelearning. Nice to meet you! My name is Chris Piech and I'm a professor at Stanford University in the AI lab. I built a class called Probability for AI: pai.stanford.edu. It starts Oct 9th and applications are due end of Sept. Its (hopefully) cool for a few reasons: The plan is to have one volunteer teacher for every 10 students! Apps have been open for a week and over 1,000+ folks have applied to teach. So we might actually be able to make this pretty big. I have built a lot of fun tools to make the assignments neat and easy for folks with just light math background. For example in your application, after about 1 hour of learning you will build an AI text detection app alongside a free coding agent -- that cares about probability education. If you are a teacher, we will give you the best training we can come up with. Practice on teachable agents and we will share what we have learned over decades of teaching at Stanford. Of course you get the best thing for improving: experience teaching a small group. This is all for good times. I am keeping it free for everyone. I got some funding from a kind alum and that is going to pay for all the free tools and servers. Woot! My guess is that a lot of folks on this thread would be awesome teachers. If you think thats you, it would be so cool if you wanted to come teach. Each volunteer means 10+ students get to take the class. And if you feel like telling your loved ones / communities that would be great to. Apply to learn: https://pai.stanford.edu/apply/pai1/student?r=ml Apply to teach: https://pai.stanford.edu/apply/pai1/sl?r=ml Anything that I learn from this course I will be happy to share with this community. Also ask me anything. I'll check this thread for the next few weeks. Rock on. And mods, thanks for doing what you do.   submitted by   /u/chrispiech [link]   [comments]