Unsupervised learning - Study guides, Class notes & Summaries

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...

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...

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 ...

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...

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...

big data - Answer-Sets of data that are too large to be gathered and analyzed by traditional methods. law of large numbers - Answer-A mathematical principle stating that as the number of similar but independent exposure units increases, the relative accuracy of predictions about future outcomes (losses) also increases. data mining - Answer-The analysis of large amounts of data to find new relationships and patterns that will assist in developing business solutions. text mining - Answer-Obt...

In this file, I have summarized all the lectures of Intelligent Systems. I have added lecture notes and summarized important parts of the book. To make the summary more readable (were necessary), I have added illustrations from the slides. Good luck with the exam!

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...

Which Deep Learning model is well-suited for processing sequential data, such as sentences? a. Recurrent Neural Network (RNN) b. Convolutional Neural Network (CNN) c. Variational Autoencoder (VAE) d. Generative Adversarial Network (GAN) a. Recurrent Neural Network (RNN) What is the primary purpose of Convolutional Neural Networks (CNNs)? a. Generating images b. Creating Music compositions c. Processing sequential data d. Detecting patterns in images d. Detecting patterns in images As...