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Machine learning concepts via examples About this book Supervised machine learning: a first approach Supervised machine learning A distance-based method: k-NN A rule-based method: Decision trees Basic parametric models for regression and classification Linear regression Classification and logistic regression...
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机器学习的优化 Optimization for machine learning-Gradient descent-Stochastic gradient descent-Generalization bounds through stochastic gradient descent 局部平均技术 Local averaging techniques-Partition estimators-Nadaraya-Watson estimators-K-nearest-neighbors-Universal consistency 核方法 Kernel methods-Kernels and rep...
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Machine learning algorithms can be organized into a taxonomy based on the desired outcome of the algorithm. • Supervised learning generates a function that maps inputs to desired outputs (also called labels, because they are often provided by human experts labeling the training examples). For ex...