Distance vector algorithm - Study guides, Class notes & Summaries

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ISYE 6501 MIDTERM 1 EXAM WITH  COMPLETE SOLUTION
  • ISYE 6501 MIDTERM 1 EXAM WITH COMPLETE SOLUTION

  • Exam (elaborations) • 11 pages • 2024
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  • ISYE 6501 MIDTERM 1 EXAM WITH COMPLETE SOLUTION Rows - CORRECT ANSWER-Data points are values in data tables Columns - CORRECT ANSWER-The 'answer' for each data point (response/outcome) Structured Data - CORRECT ANSWER-Quantitative, Categorical, Binary, Unrelated, Time Series Unstructured Data - CORRECT ANSWER-Text Support Vector Model - CORRECT ANSWER-Supervised machine learning algorithm used for both classification and regression challenges. Mostly used in classification problem...
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INSY 3303 Exam 2 Review Questions and Answers 100% Pass
  • INSY 3303 Exam 2 Review Questions and Answers 100% Pass

  • Exam (elaborations) • 11 pages • 2024
  • INSY 3303 Exam 2 Review Questions and Answers 100% Pass Access Layer - Answer- The layer that provides network access. Ex. Local Area Network (LAN) ACK (acknowledgement message) - Answer- the part of the ARQ algorithm that lets the sender know that the package has been correctly received without errors. Address Resolution - Answer- the process of translating the application layer address (or server name) of the destination into a network layer address, and in turn translate that into a d...
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ISYE 6501 Practice Test Questions With Correct Answers
  • ISYE 6501 Practice Test Questions With Correct Answers

  • Exam (elaborations) • 11 pages • 2023
  • ISYE 6501 Practice Test Questions With Correct Answers 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 bou...
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Dsci 100 Final Exam Complete Questions And Answers For All Blocks.
  • Dsci 100 Final Exam Complete Questions And Answers For All Blocks.

  • Exam (elaborations) • 5 pages • 2024
  • Underfitting in classification - correct answer Increased number of neighbours means that more observations are influencing the classification. This smooths out the boundaries between each class, so the model isn't influenced enough by the training data. Underfitting in KNN regression - correct answer Increased K values means that more observations are influencing the regression line, which can cause the line to beco...
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GIZ exam 3 2024 Updated And 100%CORRECT Answer.
  • GIZ exam 3 2024 Updated And 100%CORRECT Answer.

  • Exam (elaborations) • 12 pages • 2024
  • T or F. Pixel values can have decimal numbers in a floating point rastercorrect answer - True Wavelengths less than 0.4 um are...correct answer - not used in remote sensing. Wavelengths from 3.0 to 100 um are termed ___________ and are used in remote sensingcorrect answer - far infrared Wavelengths from 0.7 to 3.0 um are termed ____________ and are used in remote sensingcorrect answer - near infrared Wavelengths 1mm to 1m are termed _____________ and are used in remote sensingcor...
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QUESTIONS AND ANSWERS FOR ISYE  6501 FINAL
  • QUESTIONS AND ANSWERS FOR ISYE 6501 FINAL

  • Exam (elaborations) • 8 pages • 2024
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  • QUESTIONS AND ANSWERS FOR ISYE 6501 FINAL Support Vector Machine - CORRECT ANSWER-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 - CORRECT ANSWER-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 ...
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Nursing Informatics Exam 1|164 Questions with Verified Answers,100% CORRECT
  • Nursing Informatics Exam 1|164 Questions with Verified Answers,100% CORRECT

  • Exam (elaborations) • 15 pages • 2024
  • Nursing Informatics Exam 1|164 Questions with Verified Answers How does computer literacy differ from information literacy? - CORRECT ANSWER Computer literacy is the the basic personal What is the main goal for using technology in Healthcare today? - CORRECT ANSWER Increase patient safety The nurse gathers much data when caring for clients; which is an example of the higher-level "information" useful in caring for clients? - CORRECT ANSWER After receiving Rocephin 1.0g IV yesterday,...
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WGU C952 Computer Architecture Questions and Answers Already Passed
  • WGU C952 Computer Architecture Questions and Answers Already Passed

  • Exam (elaborations) • 14 pages • 2023
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  • WGU C952 Computer Architecture Questions and Answers Already Passed What access does a register file operate under to properly function? read and write access what is the binary representation of instructions? machine language Which feature of the IBM 360/91 was incorporated into the majority of microprocessors developed in the 21st century? Algorithm innovations allowed the improved parallel execution of instructions. Which key design element changed in 2005 to drive continued improvements i...
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GISP General Questions with Verified Solutions
  • GISP General Questions with Verified Solutions

  • Exam (elaborations) • 4 pages • 2023
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  • GISP General Questions with Verified Solutions An example of analog-to-digital conversion Scanning a map document to JPG format Components of the OGC geometry object model Curve, point, surface Most effective method for maintaining data quality to ensure that no line features of a stream center line layer intersect the polygon feature of a land cover layer Topology According to National Map Accuracy Standards, what percentage of features must be within 1/30 of an inch or less from their inten...
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ISYE 6501 Midterm 1 QUESTIONS CORRECTLY ANSWERED LATEST UPDAT
  • ISYE 6501 Midterm 1 QUESTIONS CORRECTLY ANSWERED LATEST UPDAT

  • Exam (elaborations) • 7 pages • 2023
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  • ISYE 6501 Midterm 1 QUESTIONS CORRECTLY ANSWERED LATEST UPDATE Support Vector Machine(SVM) is a supervised machine learning algorithm used for? - ANSWER Classification How to split the data if we only have one model? - ANSWER 70% training data, 30% testing data How to split the data if we want to compare models? - ANSWER 70% training, 15% validation and 15% testing When do we need to do scaling in data? - ANSWER When our factors/attributes/dimensions are orders of magnitude differe...
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