Convolutional Neural Networks (OMSCS Deep Learning Course Note 3)
Convolutional Neural Networks Introduction - convolution layer can take any input 3D tensor and output another similarly-shaped output - e.g. RGB ima...
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Introduction to Neural Networks (OMSCS Deep Learning Course Mote 2)
Optimization of Deep Neural Networks Background - Backpropagation and automatic differentiation allows us to optmize any function composed of differentia...
Introduction to Neural Networks (OMSCS Deep Learning Course Mote 1)
Linear Classiferers and Gradient Descent
Tree based methods review
Overview Segment the predictor space into a number of regions and use the mean or mode of the observations in the region for prediction. The segment/spliting...
Thoughts about Product Analytics
What types of questions are answered by the product analytics team? What is the impact due to some situations? How do you estimate the profit or revenue...