Classification clustering - Samenvattingen, Aantekeningen en Examens

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This summary contains all material discussed in the lectures (1-13) of Machine Learning taught at the Vrije Universiteit Amsterdam to third year Business Analytics, Information Science, Computer Science and Artificial Intelligence bachelor students. It is quite extensive, contains a lot more than just theoretical formulas (I think it is hard to memorise them without knowing some background) so everything I wrote is explained with a sketch, example or some extra information that all helped me t...

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Algorithm Correct Answer Step-by-step procedure designed to carry out a task. Change detection Correct Answer Identifying when a significant change has taken place in a process. Classification Correct Answer The separation of data into two or more categories, or (a point's classification) the category a data point is put into. Classifier Correct Answer A boundary that separates the data into two or more categories. Also (more generally) an algorithm that performs classification. Clu...

Test Bank for Business Analytics: Data Analysis & Decision Making, 8th Edition 8e by S. Christian Albright, Wayne L. Winston. Complete chapters test bank are included with answers - Chapter 1 to 19 1. Introduction to Business Analytics. Part 1: DATA ANALYSIS. 2. Describing the Distribution of a Variable. 3. Finding Relationships among Variables. 4. Business Intelligence (BI) Tools for Data Analysis: Power Query. 5. Business Intelligence (BI) Tools for Data Analysis: Power Pivot. Part 2:...

WPC 300 Final Exam Review (2023/24) || All Questions & 100% Accurate Solutions WPC 300 Final Exam Review (2023/24) || All Questions & 100% Accurate Solutions An _________will actually do classification, regression, clustering, or association - ANSWER - Algorithm Supervised Learning - ANSWER - Learn with a labeled dataset • "Correct answer" is provided so there is an output variable • Data will be separated into training dataset and test dataset (or validation dataset) Unsupervis...

head() returns - the first five sets of the dataframe 5 steps to building a machine learning model - 1. choosing a class of model 2. choose hyperparameters 3. arrange data 4. fit the model 5. predict a silhouette score of 1 is the [best/worst] and -1 is the [best/worst] score - best, worst advantages of linear regression models - easy to implement, interpret, and train can reduce overfitting with cross validation extrapolation beyond particular data set are naive bayes suitable for hig...

Classification problems are commonly solved using what model(s)? : Support Vector Machine Clustering problems are commonly solved using what model(s)? : k-means Response Prediction questions are commonly solved using what model(s)? : -ARIMA -CART -Exponential smoothing -linear regression -logistic regression -Random Forest Validation questions are commonly solved using what model(s)? : -Cross Validation 2 | P a g e Variance Estimation questions are commonly solved using what model...

Data point - Observation/record of (perhaps multiple) measurements for a single member of a population or data set. In the standard tabular format, a row of data. Bayesian Information criterion (BIC) - Model selection technique that trades off model fit and model complexity. When comparing models, the model with lower BIC is preferred. Generally penalizes complexity more than AIC. 1-norm (rectilinear distance, Manhattan distance) - Think of distances in blocks E (|xi - yi|) 2-norm (euclide...

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 ...