22 Great Articles About Neural Networks

22 Great Articles About Neural Networks This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, AI and

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Some Deep Learning with Python, TensorFlow and Keras

Some Deep Learning with Python, TensorFlow and Keras he following problems are taken from a few assignments from the coursera courses Introduction to Deep Learning (by Higher School of Economics) and Neural Networks and Deep Learning (by Prof Andrew Ng, deeplearning.ai). The problem descriptions are taken straightaway from the assignments.   1. Linear models, Optimization In

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An Economic Perspective on Fraud Analytics: Calculating ROI of Fraud Detection Systems

An Economic Perspective on Fraud Analytics: Calculating ROI of Fraud Detection Systems By Bart Baesens, Véronique Van Vlasselaer and Wouter Verbeke The importance and need for effective fraud detection and prevention systems is highlighted by some recent numbers which give an indication of the estimated size and the financial impact

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