IF YOU ARE A REAL QUANT, MANY DATA SCIENCE BOOTCAMPS WILL WASTE YOUR TIME. Second, you will get to play with some really advanced stuff. The question, though, is why should YOU - you mongo quant you - sign up to THIS bootcamp? Two reasons. If not, we will cover it in the bootcamp. Then.boom! The golden era of ML arrived, and with it, the explosion of supervised machine learning, SVM, ensemble methods, baggers and boosters, and all the rest. Yet, the modern era of data science algorithmics didn't really kick in until the late 1980s - when CNN's via backpropogation trained by gradient descent (Waibel (1987, 1989)) began to appear. Supervised MVA (via Fisher's multiple discriminant analysis (1936)), and backpropogation neural nets since Werbos (1975). Eigen systems-based dimensional reduction has been hanging around since the 1930s (via Hoetelling (1933) and Thurstone (1935)).
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