topic modelingtakes us beyond assigning each post to single cluster and shows us how assigning them to several topics as real text can deal with multiple topics classification detecting poor answersexplains how to use logistic regression to find whether user' answer to question is good or bad behind the sceneswe will learn how to use the bias-variance trade-off to debug machine learning models classification ii sentiment analysisintroduces how naive bayes worksand how to use it to classify tweets in order to see whether they are positive or negative regression recommendationsdiscusses classical topic in handling databut it is still relevant today we will use it to build recommendation systemsa system that can take user input about the likes and dislikes to recommend new products regression recommendations improvedimproves our recommendations by using multiple methods at once we will also see how to build recommendations just from shopping data without the need of rating data (which users do not always provideclassification iii music genre classificationillustrates how if someone has scrambled our huge music collectionthen our only hope to create an order is to let machine learner classify our songs it will turn out that it is sometimes better to trust someone else' expertise than creating features ourselves computer vision pattern recognitionexplains how to apply classifications in the specific context of handling imagesa field known as pattern recognition dimensionality reductionteaches us what other methods exist that can help us in downsizing data so that it is chewable by our machine learning algorithms big(gerdataexplains how data sizes keep getting biggerand how this often becomes problem for the analysis in this we explore some approaches to deal with larger data by taking advantage of multiple core or computing clusters we also have an introduction to using cloud computing (using amazon' web services as our cloud providerappendixwhere to learn more about machine learningcovers list of wonderful resources available for machine learning [