Unsupervised learning - Samenvattingen, Aantekeningen en Examens

The file contains cheatsheet materials for two M.Sc. DSS core courses, Data Mining for Business & Gov. (880022-M-6) and Machine Learning (880083-M-6). Both cheatsheets have been tested on multiple mock exams as well as used successfully in the actual exams. Includes python codes for Machine Learning. Some information overlaps due to it being covered in both courses.

Identify whether the task required is supervised or unsupervised learning: Deciding whether to issue a loan to an applicant based on demographic and financial data (with reference to a database of similar data on prior customers). - Supervised - Unsupervised -:- Supervised This is supervised learning, because the database includes whether the loan was approved or not. Identify whether the task required is supervised or unsupervised learning: Printing of custom discount coupons at t...

BUAN 4310 Midterm Questions and Answers Already Passed What part of the data mining process takes the most time? Exploratory Data Analysis The purpose of sampling is to _____________________. Obtain sufficient information to draw a valid inference about a population. In data mining, classification is _______________________. a division of a set of examples into a number of categories. What is one appropriate strategy when the data set is too small for partitioning? Cross- valid...

Supervised Learning correct answers Uses a precise rule to predict outcome Ex: Regression Random Forrest (Predict stock returns) Unsupervised Learning correct answers Uncovers relationships/commonalties/patterns between variables without a model/structure (What stocks are similar to each other) Deep Learning correct answers Mimicking how the brain works, uses multi-layered neural network (Detect investor sentiment using social media) Ex; time series (nerual nets) Fin-tech: correc...

IoT (internet of things) - The multiple networks of devices or tech platforms ("things") that communicate with each other via wireless protocols and without direct human interaction (ex: smart home devices like programmable thermostats) neural networks - AI algorithms that recognize underlying relationships in a set of data through a process that mimics the way the human brain operations (biological neural networks) disruptive technologies - Technologies that create market shocks and cata...

UMKC DSOM- CHP.11: UNSUPERVISED DATA MINING EXAM QUESTIONS AND ANSWERS WITH COMPLETE SOLUTIONS VERIFIED LATEST UPDATE Name two popular unsupervised data mining techniques: cluster analysis and association rule analysis. Multiple select question. Cluster analysis Factor analysis Association rule analysis Discriminant analysis Cluster analysis Association rule analysis Unsupervised data mining, also referred to as unsupervised learning, requires no knowledge of the response variable.I...

Oracle Cloud Infrastructure AI Foundations Associate (1Z0-1122-23) Exam || All Questions & Answers (Graded A+) Oracle Cloud Infrastructure AI Foundations Associate (1Z0-1122-23) Exam || All Questions & Answers (Graded A+) When preparing data for a Machine Learning model, what are typically considered as input features? - Data that is irrelevant to the problem - The target variable you want to predict - Data collected after the model has made predictions - Attributes that provide inform...

ISYE-6501 Exam 1 QUESTIONS & CORRECT ANSWERS Algorithm - ANSWER a step-by-step procedure designed to carry out a task Change Detection - ANSWER Identifying when a significant change has taken place Classification - ANSWER Separation of data into two or more categories Classifier - ANSWER A boundary that separates data into two or more categories Cluster - ANSWER A group of points that are identified as being similar or near each other Cluster Center - ANSWER In some clustering ...

MATH 425 exam 2 all answers correct Unsupervised learning methods are needed when... data only contains features and no label What are some of the possible goals within unsupervised learning framework? One possible goal within the unsupervised learning framework is to discover interesting things about the data that you are working with. This includes questions such as "Are there any subgroups among the observations or variables that we can discover?", and "Do you notice any hi...

Identify whether the task required is supervised or unsupervised learning: Predicting whether a company will go bankrupt based on comparing its financial data to those of similar bankrupt and nonbankrupt firms. -:- Supervised learning, all information evaluated is known Identify whether the task required is supervised or unsupervised learning: Printing of custom discount coupons at the conclusion of a grocery store checkout based on what you just bought and what others have bought pre...