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Boosting - EXPLAINED!

REFERENCES [1] A Short Introduction to Boosting: https://cseweb.ucsd.edu/~yfreund/pape... [2] A Theory of the Learnable (Valiant, 1984): http://web.mit.edu/6.435/www/Valiant8.... This introduced the PAC Learning model [3] PAC Learning Model:    • PAC learning   [4] Cryptographic Limitations on Learning Boolean Formulae & Finite Automata (Kearns et al., 1988): https://www.cis.upenn.edu/~mkearns/pa... (This paper defined weak learnability) [5] The strength of weak learnability (Schapire, 1990): http://rob.schapire.net/papers/streng... [6] A gentle intro to weak learners: https://www.cs.ox.ac.uk/people/varun.... [7] Boosting a weak learning algorithm by majority (Freund, 1995): https://pdfs.semanticscholar.org/d620... [8] Adaptive Boosting (Section 4): http://rob.schapire.net/papers/Freund... [9] Adaboost & overfitting discussion: https://stats.stackexchange.com/quest... [10] Gradient Boosting: https://statweb.stanford.edu/~jhf/ftp... [11] How boosting still learns even after training error hits 0: https://www.cc.gatech.edu/~isbell/tut... [12] Difference between Adaboost & Gradient Boost: https://www.quora.com/What-is-the-dif... [13] Adaboost Vs Gradient Boosting: https://subscription.packtpub.com/boo... [14] XGBoost (Main Paper): https://arxiv.org/abs/1603.02754 [15] Compressed Sparse Column (CSC) format used in storing data in XGboost: https://software.intel.com/en-us/mkl-... CODE [1] Starter code with built in libraries: https://repl.it/@PulkitSharma1/Boosti... IMAGE RESOURCES [1] ConvNet: https://missinglink.ai/guides/convolu... HIPPY COWBOY MUSIC [1] Cowboy Sting by Kevin MacLeod is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/...) Source: http://incompetech.com/music/royalty-... Artist: http://incompetech.com/