Week 3 Assignment - Business Intelligence

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Chapter6_AnalyticsDataScienceArtificialIntellience.pdf

Chapter 6 Slides

▪ Opening Vignette

▪ Danske Bank

▪ Results

▪ Realize a 60 percent reduction in false positives with an expectation to reach as high as 80 percent.

▪ Increase true positives by 50 percent.

▪ Focus resources on actual cases of fraud.

▪ Deep learning with AI-based learning

▪ Review Figure 6.11

▪ Learning process in ANN

▪ Supervised learning

▪ Performance function

▪ Over-fitting

▪ Pooling

▪ Convolution Network unit

▪ RNN- specifically designed to process sequential inputs. An RNN basically models a dynamic system where (at least in one of its hidden neurons) the state of the system (i.e., output of a hidden neuron) at each time point t depends on both the inputs to the system at that time and its state at the previous time point t - 1.

▪ Torch

▪ Caffe

▪ TensorFlow

▪ Theano

▪ Figure 6.36

▪ Review the Chapter highlights

▪ Review the key terms

▪ Complete the weekly homework