AcademicContent VS ML-foundations

Write code to play the Microsoft Match Game. Our version of the popular card game where you have to find two cards with the same image to make a match. But in our Game, no two tiles are the same. You have to match up the tiles that contain the same subject matter using the A.I. power of Azure Cognitive Services to analyse the images on each tile and to determine what subject of each image is. You start with a set of tiles face down and you get to turn over two tiles at a time in order to match tiles in pairs, but, unlike the usual version of the matching game, you are not looking for two identical images. You have to use Microsoft’s Cognitive Services to understand exactly what the content of each tile image is. Then you need to find another tile with the same content. Interested in taking part watch he following introduction Video read the game instructions and join the AI Gaming Challenge

As others have said, you won't need calculus immediately, but it's important that you make a good attempt at learning up to Calc3. I also didn't have a math heavy undergrad so it took a lot of self-study for me, but it's possible. Simulation has a great math boot camp at the beginning to review everything but you'll want to be prepped with Calc before that because that class is all calculus based probability. Some other good resources are the 3Blue1Brown videos on YouTube. They have a great series for both calc & linear algebra to talk through all the intuition with visuals. I also really like John Krohns series because you code through the math which is very applicable for us in this program. I only did his linear Algebra, but he has a whole series with Calc and probability, too. https://github.com/jonkrohn/ML-foundations