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ISYE 6501 Midterm 1 Glossary|WITH 100% CORRECT ANSWERS|ALREADY GRADED A|1005 PASS
Descriptive Analytics 
What happened 
 
 
 
Predictive Analytics 
What will happen 
 
 
 
Prescriptive Analytics 
What action(s) would be best 
 
 
 
algorithm 
Step-by-step procedure designed to carry out a task. 
 
 
 
change detection 
Identifying when a significant change has taken place in a process. 
 
 
 
classification 
The separation of data into two or more categories, or (a point's classification) the category a data point is put into. 
 
 
 
classifier 
A boundary that separates the...
- Exam (elaborations)
- • 10 pages •
Descriptive Analytics 
What happened 
 
 
 
Predictive Analytics 
What will happen 
 
 
 
Prescriptive Analytics 
What action(s) would be best 
 
 
 
algorithm 
Step-by-step procedure designed to carry out a task. 
 
 
 
change detection 
Identifying when a significant change has taken place in a process. 
 
 
 
classification 
The separation of data into two or more categories, or (a point's classification) the category a data point is put into. 
 
 
 
classifier 
A boundary that separates the...
ISYE 6501 Midterm|2023 LATEST UPDATE|100% COMPLETE SOLUTIONS|100% PASS
What does SVM stand for? 
Support Vector Machine 
 
 
 
Is written text structured or unstructured? 
Unstructured 
 
 
 
When we increase the sum of the square of the coefficients we... 
Decrease the distance between the lines 
 
 
 
In SVM soft classifier we tradeoff between maximizing ___ and minimizing ___ 
margin and errors 
 
 
 
If lambda gets small what gets emphasized, large margin or minimizing training error?, 
Minimizing errors. 
 
 
 
What is a support vector? 
A point that holds up ...
- Exam (elaborations)
- • 29 pages •
What does SVM stand for? 
Support Vector Machine 
 
 
 
Is written text structured or unstructured? 
Unstructured 
 
 
 
When we increase the sum of the square of the coefficients we... 
Decrease the distance between the lines 
 
 
 
In SVM soft classifier we tradeoff between maximizing ___ and minimizing ___ 
margin and errors 
 
 
 
If lambda gets small what gets emphasized, large margin or minimizing training error?, 
Minimizing errors. 
 
 
 
What is a support vector? 
A point that holds up ...
ISYE 6501 - Week 1: Introduction and Classification|2023 LATEST UPDATE|100% PASS
Descriptive Question 
Questions that ask for explanations of what happened 
 
 
 
Predictive Questions 
Questions that ask what's going to happen in the future 
 
 
 
Prescriptive Questions 
Questions that ask what action or actions would be best 
 
 
 
General Questions 
Generic questions on data analytics 
 
 
 
Modeling 
A mathematical expression of a real-life situation 
 
 
 
Classification 
Putting things into categories 
 
 
 
Classifiers 
Separators 
 
 
 
Data Point 
A single observati...
- Exam (elaborations)
- • 3 pages •
Descriptive Question 
Questions that ask for explanations of what happened 
 
 
 
Predictive Questions 
Questions that ask what's going to happen in the future 
 
 
 
Prescriptive Questions 
Questions that ask what action or actions would be best 
 
 
 
General Questions 
Generic questions on data analytics 
 
 
 
Modeling 
A mathematical expression of a real-life situation 
 
 
 
Classification 
Putting things into categories 
 
 
 
Classifiers 
Separators 
 
 
 
Data Point 
A single observati...
Jarvis Study Guide - Chapters 1-7|ALREADY GRADED A|VERIFIED AND UPDATED|DOWNLOAD TO PASS
The concept of health and healing has evolved in recent years. Which is the best description of health? 
 
a. Health is the absence of disease. 
b. Health is a dynamic process toward optimal functioning. 
c. Health depends on an interaction of mind, body, and spirit within the environment. 
d. Health is the prevention of disease. 
c. Health depends on an interaction of mind, body, and spirit within the environment. 
 
 
 
Which would be included in the database for a new patient admission to a s...
- Exam (elaborations)
- • 28 pages •
The concept of health and healing has evolved in recent years. Which is the best description of health? 
 
a. Health is the absence of disease. 
b. Health is a dynamic process toward optimal functioning. 
c. Health depends on an interaction of mind, body, and spirit within the environment. 
d. Health is the prevention of disease. 
c. Health depends on an interaction of mind, body, and spirit within the environment. 
 
 
 
Which would be included in the database for a new patient admission to a s...
Health Assessment Jarvis: Ch 16: Ears|2023 LATEST UPDATE|WITH 100% COMPLETE SOLUTIONS|GRADED A
The nurse needs to pull the portion of the ear that consists of movable cartilage and skin down and back when administering eardrops. This portion of the ear is called the: 
 
a. Auricle. 
 
b. Concha. 
 
c. Outer meatus. 
 
d. Mastoid process. 
A. auricle 
 
The external ear is called the auricle or pinna and consists of movable cartilage and skin. 
 
 
 
The nurse is examining a patient's ears and notices cerumen in the external canal. Which of these statements about cerumen is correct? 
 
a....
- Exam (elaborations)
- • 20 pages •
The nurse needs to pull the portion of the ear that consists of movable cartilage and skin down and back when administering eardrops. This portion of the ear is called the: 
 
a. Auricle. 
 
b. Concha. 
 
c. Outer meatus. 
 
d. Mastoid process. 
A. auricle 
 
The external ear is called the auricle or pinna and consists of movable cartilage and skin. 
 
 
 
The nurse is examining a patient's ears and notices cerumen in the external canal. Which of these statements about cerumen is correct? 
 
a....
Chapter 1-5: Jarvis Health Assessment|ALREADY GRADED A|VERIFIED|DOWNLOAD TO PASS
Evidence based practice 
a systematic approach emphasizing the best research evidence, the clinicians experience, patient preferences and values, physical examination, and assessment. 
 
 
 
Subjective Data 
SYMPTOMS: What the person says about him or herself during history taking. 
 
 
 
Objective Data 
SIGNS: What the health professional observes by inspecting, palpating, percussing and osculating during the physical examination. 
 
 
 
Diagnostic Reasoning 
the process of taking the informati...
- Exam (elaborations)
- • 4 pages •
Evidence based practice 
a systematic approach emphasizing the best research evidence, the clinicians experience, patient preferences and values, physical examination, and assessment. 
 
 
 
Subjective Data 
SYMPTOMS: What the person says about him or herself during history taking. 
 
 
 
Objective Data 
SIGNS: What the health professional observes by inspecting, palpating, percussing and osculating during the physical examination. 
 
 
 
Diagnostic Reasoning 
the process of taking the informati...
ISYE 6501 Mid Term 1|2023 LATEST UPDATE|WITH 100% CORRECT ANSWERS|100% PASS
What is modeling? 
Describing a real life situation mathematically 
 
 
 
Model 
Mathematical approaches to solving analytics problems 
1. Regression for ex. can be called the model of choice. 
2. If more detail (descriptive and numerical), the use of, for ex. Regression, can be called the model. 
3. The actual values and output along with 1 and 2 can be referred to as the model. 
 
 
 
Cross Cutting Concepts 
Preparing data, measuring the quality of a model's output, missing data, etc.. 
 
 
 ...
- Exam (elaborations)
- • 9 pages •
What is modeling? 
Describing a real life situation mathematically 
 
 
 
Model 
Mathematical approaches to solving analytics problems 
1. Regression for ex. can be called the model of choice. 
2. If more detail (descriptive and numerical), the use of, for ex. Regression, can be called the model. 
3. The actual values and output along with 1 and 2 can be referred to as the model. 
 
 
 
Cross Cutting Concepts 
Preparing data, measuring the quality of a model's output, missing data, etc.. 
 
 
 ...
Isye 6501 Final exam|2023 LATEST UPDATED|WITH COMPLETE SOLUTIONS
1-norm 
Similar to rectilinear distance; measures the straight-line length of a vector from the origin. If z=(z1,z2,...,zm) is a vector in an m-dimensional space, then it's 1-norm is square root(|
- Exam (elaborations)
- • 32 pages •
1-norm 
Similar to rectilinear distance; measures the straight-line length of a vector from the origin. If z=(z1,z2,...,zm) is a vector in an m-dimensional space, then it's 1-norm is square root(|
ISYE 6501 Midterm 2 Part 1|2023 LATEST UPDATE|WITH 100% CORRECT ANSWERS|100% PASS
greedy algorithm 
at each step, the algorithm does the thing that looks best without taking future options into consideration; more classical 
 
 
 
variable selection methods 
stepwise - (forward, backward, combination) 
lasso 
elastic net 
 
 
 
available metrics for variable selection criteria 
p-value 
r2 
AIC / BIC 
 
 
 
lasso 
Giving regression a budget to use on coefficients which it uses on most important coefficients 
Have to scale first 
 
 
 
elastic net 
constrain combination of abs...
- Exam (elaborations)
- • 4 pages •
greedy algorithm 
at each step, the algorithm does the thing that looks best without taking future options into consideration; more classical 
 
 
 
variable selection methods 
stepwise - (forward, backward, combination) 
lasso 
elastic net 
 
 
 
available metrics for variable selection criteria 
p-value 
r2 
AIC / BIC 
 
 
 
lasso 
Giving regression a budget to use on coefficients which it uses on most important coefficients 
Have to scale first 
 
 
 
elastic net 
constrain combination of abs...
ISYE 6501 Midterm 1|2023 LATEST UPDATE|WITH 100% CORRECT ANSWER|DOWNLOAD TO PASS
Rows 
Data points are values in data tables 
 
 
 
Columns 
The 'answer' for each data point (response/outcome) 
 
 
 
Structured Data 
Quantitative, Categorical, Binary, Unrelated, Time Series 
 
 
 
Unstructured Data 
Text 
 
 
 
Support Vector Model 
Supervised machine learning algorithm used for both classification and regression challenges. 
Mostly used in classification problems by plotting each data item as a point in n-dimensional space (n is the number of features you have) with the v...
- Exam (elaborations)
- • 14 pages •
Rows 
Data points are values in data tables 
 
 
 
Columns 
The 'answer' for each data point (response/outcome) 
 
 
 
Structured Data 
Quantitative, Categorical, Binary, Unrelated, Time Series 
 
 
 
Unstructured Data 
Text 
 
 
 
Support Vector Model 
Supervised machine learning algorithm used for both classification and regression challenges. 
Mostly used in classification problems by plotting each data item as a point in n-dimensional space (n is the number of features you have) with the v...
Nester's microbiology Exam 2 with complete solutions