Week 9 Anomaly Detection And Recommender System
Gaussian distrIbution(normal distribution)
Building an Anomaly Detection System
Multivariate Gaussian Distribution
Week 10 Large Scale Machine Learning
Map reduce method is also applicable in building the neural network
Stochastic Gradient Descent And Mini-Batch Gradient Descent
Week 11 Photo OCR
Problem Description And Pipeline:
When someone refers to a “machine learning pipeline,” he or she is referring to: A system with many stages / components, several of which may use machine learning.
On occasions when we need large amount of data, there are mainly two ways to create artificial data. One of them is create from scratch, and the other one is create from exising examples; When performing rotations, translations or introducing gaussian noise, we must consider what is meaningful for our examples.
We can't hurry to doing some particular type of work and should do the ceiling analysis instead, which can help us decide on allocation of resources in terms of which component in a machine learning pipline to spend more effort on and void watsing time on some work that will not improve our overall performance significantly.