Fuqing Zhao, Shilu Di, Ling Wang
A Hyperheuristic With Q-Learning for the Multiobjective Energy-Efficient Distributed Blocking Flow Shop Scheduling Problem
IEEE transactions on cybernetics
machine learning ml one exciting dynamic areas modern research application purpose review provide introduction core concepts tools machine learning manner easily understood intuitive physicists review begins covering fundamental concepts ml modern statistics biasvariance tradeoff overfitting regularization generalization gradient descent moving advanced topics supervised unsupervised learning topics covered review include ensemble models deep learning neural networks clustering data visualization energybased models including maxent models restricted boltzmann machines variational methods throughout emphasize many natural connections ml statistical physics notable aspect review use python jupyter notebooks introduce modern mlstatistical packages readers using physicsinspired datasets ising model montecarlo simulations supersymmetric decays protonproton collisions conclude extended outlook discussing possible uses machine learning furthering understanding physical world well open problems ml physicists may able contribute notebooks available httpsphysicsbuedupankajmmlnotebookshtml