Unsupervised learning - Study guides, Class notes & Summaries

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...

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...

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...

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...

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...

Peds Preschool Review Practice Questions 2024. A nurse is planning to foster independence in a group of 4-year-old children. What self-care skill does the nurse expect 4-year-olds to be capable of performing? 1 Parting and combing hair 2 Putting on a shirt and buttoning it 3 Cutting meat with a fork and knife 4 Slipping into shoes and tying shoelaces - CORRECT ANSWER 2 Four-year-old children can put on a shirt and can fasten it if the buttons are large. Four-year-olds will be able ...

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...

True or false: Bar charts are useful for comparing a single statistic (e.g. average, count, percentage) across groups. The height of the bar represents the value of statistic, and different bars correspond to different groups. - ️️True Assume that you are running Neural platform in JMP Pro. Which penalty method should be chosen if your data set has large number of X variables, and you think that a few of them contribute more than others to the predictive ability of the model? [ No penal...

ISYE 6501 Final Questions and Answers Already Passed Support Vector Machine A supervised learning, classification model. Uses extremes, or identified points in the data from which margin vectors are placed against. The hyperplane between these vectors is the classifier SVM Pros/Cons Pros: It works really well with a clear margin of separation It is effective in high dimensional spaces. It is effective in cases where the number of dimensions is greater than the number of samples. It uses a subse...