Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition

The book provides an inexpensive matlab toolbox for the main algorithms in pattern classification. It contains supporting algorithms for data generation and visualization and contains step-by-step worked examples. Â· bayesian decision theory Â· maximum-likelihood and bayesian parameter estimation Â· nonparametric techniques Â· linear discriminant functions Â· multilayer neural networks Â· stochastic methods Â· nonmetric methods Â· algorithm-independent machine learning Â· unsupervised learning and clustering

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Pattern Classification;