SlideShare a Scribd company logo

Discussion (Chapter 1) Compare and contrast predictive analytics wi.docx

•Download as DOCX, PDF•
•
M
mecklenburgstrelitzh

Discussion (Chapter 1): Compare and contrast predictive analytics with prescriptive and descriptive analytics. Use examples. Response should be 250-300 words and with references There must be at least one APA formatted reference (and APA in-text citation) to support the thoughts in the post.  Do not use direct quotes, rather rephrase the author's words and continue to use in-text citations. .

Education
1 of 1
Discussion (Chapter 1): Compare and contrast predictive analytics with prescriptive and descriptive analytics. Use examples. Response should be 250-300 words and with references There must be at least one APA formatted reference (and APA in-text citation) to support the thoughts in the post. Do not use direct quotes, rather rephrase the author's words and continue to use in-text citations.

Recommended

Discussion - Week 3Elements of the Craft of WritingThe narra.docx
Discussion - Week 3Elements of the Craft of WritingThe narra.docxDiscussion - Week 3Elements of the Craft of WritingThe narra.docx
Discussion - Week 3Elements of the Craft of WritingThe narra.docxmecklenburgstrelitzh
 
Discussion - Microbial ClassificationGive names of bacteria in.docx
Discussion - Microbial ClassificationGive names of bacteria in.docxDiscussion - Microbial ClassificationGive names of bacteria in.docx
Discussion - Microbial ClassificationGive names of bacteria in.docxmecklenburgstrelitzh
 
Discussion (Chapter 7) What are the common challenges with which se.docx
Discussion (Chapter 7) What are the common challenges with which se.docxDiscussion (Chapter 7) What are the common challenges with which se.docx
Discussion (Chapter 7) What are the common challenges with which se.docxmecklenburgstrelitzh
 
Discussion - Big Data Visualization toolsSeveral Big Data Visu.docx
Discussion - Big Data Visualization toolsSeveral Big Data Visu.docxDiscussion - Big Data Visualization toolsSeveral Big Data Visu.docx
Discussion - Big Data Visualization toolsSeveral Big Data Visu.docxmecklenburgstrelitzh
 
Discussion - 1 Pick 2 different department team members and descri.docx
Discussion - 1 Pick 2 different department team members and descri.docxDiscussion - 1 Pick 2 different department team members and descri.docx
Discussion - 1 Pick 2 different department team members and descri.docxmecklenburgstrelitzh
 
Discussion (Chapter 7) What are the common challenges with which .docx
Discussion (Chapter 7) What are the common challenges with which .docxDiscussion (Chapter 7) What are the common challenges with which .docx
Discussion (Chapter 7) What are the common challenges with which .docxmecklenburgstrelitzh
 
Discussion (Chapter 7) What are the common challenges with whic.docx
Discussion (Chapter 7) What are the common challenges with whic.docxDiscussion (Chapter 7) What are the common challenges with whic.docx
Discussion (Chapter 7) What are the common challenges with whic.docxmecklenburgstrelitzh
 
Discussion (Chapter 6) List and briefly describe the nine-step .docx
Discussion (Chapter 6) List and briefly describe the nine-step .docxDiscussion (Chapter 6) List and briefly describe the nine-step .docx
Discussion (Chapter 6) List and briefly describe the nine-step .docxmecklenburgstrelitzh
 

Recommended

Discussion - Week 3Elements of the Craft of WritingThe narra.docx
Discussion - Week 3Elements of the Craft of WritingThe narra.docxDiscussion - Week 3Elements of the Craft of WritingThe narra.docx
Discussion - Week 3Elements of the Craft of WritingThe narra.docxmecklenburgstrelitzh
 
Discussion - Microbial ClassificationGive names of bacteria in.docx
Discussion - Microbial ClassificationGive names of bacteria in.docxDiscussion - Microbial ClassificationGive names of bacteria in.docx
Discussion - Microbial ClassificationGive names of bacteria in.docxmecklenburgstrelitzh
 
Discussion (Chapter 7) What are the common challenges with which se.docx
Discussion (Chapter 7) What are the common challenges with which se.docxDiscussion (Chapter 7) What are the common challenges with which se.docx
Discussion (Chapter 7) What are the common challenges with which se.docxmecklenburgstrelitzh
 
Discussion - Big Data Visualization toolsSeveral Big Data Visu.docx
Discussion - Big Data Visualization toolsSeveral Big Data Visu.docxDiscussion - Big Data Visualization toolsSeveral Big Data Visu.docx
Discussion - Big Data Visualization toolsSeveral Big Data Visu.docxmecklenburgstrelitzh
 
Discussion - 1 Pick 2 different department team members and descri.docx
Discussion - 1 Pick 2 different department team members and descri.docxDiscussion - 1 Pick 2 different department team members and descri.docx
Discussion - 1 Pick 2 different department team members and descri.docxmecklenburgstrelitzh
 
Discussion (Chapter 7) What are the common challenges with which .docx
Discussion (Chapter 7) What are the common challenges with which .docxDiscussion (Chapter 7) What are the common challenges with which .docx
Discussion (Chapter 7) What are the common challenges with which .docxmecklenburgstrelitzh
 
Discussion (Chapter 7) What are the common challenges with whic.docx
Discussion (Chapter 7) What are the common challenges with whic.docxDiscussion (Chapter 7) What are the common challenges with whic.docx
Discussion (Chapter 7) What are the common challenges with whic.docxmecklenburgstrelitzh
 
Discussion (Chapter 6) List and briefly describe the nine-step .docx
Discussion (Chapter 6) List and briefly describe the nine-step .docxDiscussion (Chapter 6) List and briefly describe the nine-step .docx
Discussion (Chapter 6) List and briefly describe the nine-step .docxmecklenburgstrelitzh
 
Discussion (Chapter 5) What is the relationship between Naïve Bayes.docx
Discussion (Chapter 5) What is the relationship between Naïve Bayes.docxDiscussion (Chapter 5) What is the relationship between Naïve Bayes.docx
Discussion (Chapter 5) What is the relationship between Naïve Bayes.docxmecklenburgstrelitzh
 
Discussion (Chapter 4) What are the privacy issues with data mini.docx
Discussion (Chapter 4) What are the privacy issues with data mini.docxDiscussion (Chapter 4) What are the privacy issues with data mini.docx
Discussion (Chapter 4) What are the privacy issues with data mini.docxmecklenburgstrelitzh
 
Discussion (Chapter 3) Why are the originalraw data not readily us.docx
Discussion (Chapter 3) Why are the originalraw data not readily us.docxDiscussion (Chapter 3) Why are the originalraw data not readily us.docx
Discussion (Chapter 3) Why are the originalraw data not readily us.docxmecklenburgstrelitzh
 
Discussion (Chapter 5) What is the relationship between Naïve B.docx
Discussion (Chapter 5) What is the relationship between Naïve B.docxDiscussion (Chapter 5) What is the relationship between Naïve B.docx
Discussion (Chapter 5) What is the relationship between Naïve B.docxmecklenburgstrelitzh
 
Discussion (Chapter 10 in the textbook or see the ppt) For ea.docx
Discussion (Chapter 10 in the textbook or see the ppt) For ea.docxDiscussion (Chapter 10 in the textbook or see the ppt) For ea.docx
Discussion (Chapter 10 in the textbook or see the ppt) For ea.docxmecklenburgstrelitzh
 
Discussion (400 words discussion + 150 words student response)Co.docx
Discussion (400 words discussion + 150 words student response)Co.docxDiscussion (400 words discussion + 150 words student response)Co.docx
Discussion (400 words discussion + 150 words student response)Co.docxmecklenburgstrelitzh
 
Discussion (150-200 words) Why do you think so much emphasis is pla.docx
Discussion (150-200 words) Why do you think so much emphasis is pla.docxDiscussion (150-200 words) Why do you think so much emphasis is pla.docx
Discussion (150-200 words) Why do you think so much emphasis is pla.docxmecklenburgstrelitzh
 
discussion (11)explain the concept of information stores as th.docx
discussion (11)explain the concept of information stores as th.docxdiscussion (11)explain the concept of information stores as th.docx
discussion (11)explain the concept of information stores as th.docxmecklenburgstrelitzh
 
Discussion #5 How progressive was the Progressive EraThe Progres.docx
Discussion #5 How progressive was the Progressive EraThe Progres.docxDiscussion #5 How progressive was the Progressive EraThe Progres.docx
Discussion #5 How progressive was the Progressive EraThe Progres.docxmecklenburgstrelitzh
 
Discussion #4, Continued Work on VygotskyA. Why is it important .docx
Discussion #4, Continued Work on VygotskyA. Why is it important .docxDiscussion #4, Continued Work on VygotskyA. Why is it important .docx
Discussion #4, Continued Work on VygotskyA. Why is it important .docxmecklenburgstrelitzh
 
Discussion #4 What are the most common metrics that make for an.docx
Discussion #4 What are the most common metrics that make for an.docxDiscussion #4 What are the most common metrics that make for an.docx
Discussion #4 What are the most common metrics that make for an.docxmecklenburgstrelitzh
 
Discussion #3What is your perception of the community health.docx
Discussion #3What is your perception of the community health.docxDiscussion #3What is your perception of the community health.docx
Discussion #3What is your perception of the community health.docxmecklenburgstrelitzh
 
Discussion #3This week’s reading provides overview of the re.docx
Discussion #3This week’s reading provides overview of the re.docxDiscussion #3This week’s reading provides overview of the re.docx
Discussion #3This week’s reading provides overview of the re.docxmecklenburgstrelitzh
 
Discussion #2When would you consult with the nurse informatici.docx
Discussion #2When would you consult with the nurse informatici.docxDiscussion #2When would you consult with the nurse informatici.docx
Discussion #2When would you consult with the nurse informatici.docxmecklenburgstrelitzh
 
Discussion #2What are the privacy issues with data mining Do y.docx
Discussion #2What are the privacy issues with data mining Do y.docxDiscussion #2What are the privacy issues with data mining Do y.docx
Discussion #2What are the privacy issues with data mining Do y.docxmecklenburgstrelitzh
 
Discussion #2 Reconstructing the NationThe Civil War ended .docx
Discussion #2 Reconstructing the NationThe Civil War ended .docxDiscussion #2 Reconstructing the NationThe Civil War ended .docx
Discussion #2 Reconstructing the NationThe Civil War ended .docxmecklenburgstrelitzh
 
Discussion #2 - Modifying Events and Consequences...The TextCh.docx
Discussion #2 - Modifying Events and Consequences...The TextCh.docxDiscussion #2 - Modifying Events and Consequences...The TextCh.docx
Discussion #2 - Modifying Events and Consequences...The TextCh.docxmecklenburgstrelitzh
 
Discussion #1 Research the ways compensated absences should be a.docx
Discussion #1 Research the ways compensated absences should be a.docxDiscussion #1 Research the ways compensated absences should be a.docx
Discussion #1 Research the ways compensated absences should be a.docxmecklenburgstrelitzh
 
Discussion #1 Capital assets are important in all businesses.docx
Discussion #1 Capital assets are important in all businesses.docxDiscussion #1 Capital assets are important in all businesses.docx
Discussion #1 Capital assets are important in all businesses.docxmecklenburgstrelitzh
 
Discussion #1Why would an economist choose either the neoclassic.docx
Discussion #1Why would an economist choose either the neoclassic.docxDiscussion #1Why would an economist choose either the neoclassic.docx
Discussion #1Why would an economist choose either the neoclassic.docxmecklenburgstrelitzh
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceSamikshaHamane
 
Quarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up FridayQuarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up FridayMakMakNepo
 

More Related Content

More from mecklenburgstrelitzh

Discussion (Chapter 5) What is the relationship between Naïve Bayes.docx
Discussion (Chapter 5) What is the relationship between Naïve Bayes.docxDiscussion (Chapter 5) What is the relationship between Naïve Bayes.docx
Discussion (Chapter 5) What is the relationship between Naïve Bayes.docxmecklenburgstrelitzh
 
Discussion (Chapter 4) What are the privacy issues with data mini.docx
Discussion (Chapter 4) What are the privacy issues with data mini.docxDiscussion (Chapter 4) What are the privacy issues with data mini.docx
Discussion (Chapter 4) What are the privacy issues with data mini.docxmecklenburgstrelitzh
 
Discussion (Chapter 3) Why are the originalraw data not readily us.docx
Discussion (Chapter 3) Why are the originalraw data not readily us.docxDiscussion (Chapter 3) Why are the originalraw data not readily us.docx
Discussion (Chapter 3) Why are the originalraw data not readily us.docxmecklenburgstrelitzh
 
Discussion (Chapter 5) What is the relationship between Naïve B.docx
Discussion (Chapter 5) What is the relationship between Naïve B.docxDiscussion (Chapter 5) What is the relationship between Naïve B.docx
Discussion (Chapter 5) What is the relationship between Naïve B.docxmecklenburgstrelitzh
 
Discussion (Chapter 10 in the textbook or see the ppt) For ea.docx
Discussion (Chapter 10 in the textbook or see the ppt) For ea.docxDiscussion (Chapter 10 in the textbook or see the ppt) For ea.docx
Discussion (Chapter 10 in the textbook or see the ppt) For ea.docxmecklenburgstrelitzh
 
Discussion (400 words discussion + 150 words student response)Co.docx
Discussion (400 words discussion + 150 words student response)Co.docxDiscussion (400 words discussion + 150 words student response)Co.docx
Discussion (400 words discussion + 150 words student response)Co.docxmecklenburgstrelitzh
 
Discussion (150-200 words) Why do you think so much emphasis is pla.docx
Discussion (150-200 words) Why do you think so much emphasis is pla.docxDiscussion (150-200 words) Why do you think so much emphasis is pla.docx
Discussion (150-200 words) Why do you think so much emphasis is pla.docxmecklenburgstrelitzh
 
discussion (11)explain the concept of information stores as th.docx
discussion (11)explain the concept of information stores as th.docxdiscussion (11)explain the concept of information stores as th.docx
discussion (11)explain the concept of information stores as th.docxmecklenburgstrelitzh
 
Discussion #5 How progressive was the Progressive EraThe Progres.docx
Discussion #5 How progressive was the Progressive EraThe Progres.docxDiscussion #5 How progressive was the Progressive EraThe Progres.docx
Discussion #5 How progressive was the Progressive EraThe Progres.docxmecklenburgstrelitzh
 
Discussion #4, Continued Work on VygotskyA. Why is it important .docx
Discussion #4, Continued Work on VygotskyA. Why is it important .docxDiscussion #4, Continued Work on VygotskyA. Why is it important .docx
Discussion #4, Continued Work on VygotskyA. Why is it important .docxmecklenburgstrelitzh
 
Discussion #4 What are the most common metrics that make for an.docx
Discussion #4 What are the most common metrics that make for an.docxDiscussion #4 What are the most common metrics that make for an.docx
Discussion #4 What are the most common metrics that make for an.docxmecklenburgstrelitzh
 
Discussion #3What is your perception of the community health.docx
Discussion #3What is your perception of the community health.docxDiscussion #3What is your perception of the community health.docx
Discussion #3What is your perception of the community health.docxmecklenburgstrelitzh
 
Discussion #3This week’s reading provides overview of the re.docx
Discussion #3This week’s reading provides overview of the re.docxDiscussion #3This week’s reading provides overview of the re.docx
Discussion #3This week’s reading provides overview of the re.docxmecklenburgstrelitzh
 
Discussion #2When would you consult with the nurse informatici.docx
Discussion #2When would you consult with the nurse informatici.docxDiscussion #2When would you consult with the nurse informatici.docx
Discussion #2When would you consult with the nurse informatici.docxmecklenburgstrelitzh
 
Discussion #2What are the privacy issues with data mining Do y.docx
Discussion #2What are the privacy issues with data mining Do y.docxDiscussion #2What are the privacy issues with data mining Do y.docx
Discussion #2What are the privacy issues with data mining Do y.docxmecklenburgstrelitzh
 
Discussion #2 Reconstructing the NationThe Civil War ended .docx
Discussion #2 Reconstructing the NationThe Civil War ended .docxDiscussion #2 Reconstructing the NationThe Civil War ended .docx
Discussion #2 Reconstructing the NationThe Civil War ended .docxmecklenburgstrelitzh
 
Discussion #2 - Modifying Events and Consequences...The TextCh.docx
Discussion #2 - Modifying Events and Consequences...The TextCh.docxDiscussion #2 - Modifying Events and Consequences...The TextCh.docx
Discussion #2 - Modifying Events and Consequences...The TextCh.docxmecklenburgstrelitzh
 
Discussion #1 Research the ways compensated absences should be a.docx
Discussion #1 Research the ways compensated absences should be a.docxDiscussion #1 Research the ways compensated absences should be a.docx
Discussion #1 Research the ways compensated absences should be a.docxmecklenburgstrelitzh
 
Discussion #1 Capital assets are important in all businesses.docx
Discussion #1 Capital assets are important in all businesses.docxDiscussion #1 Capital assets are important in all businesses.docx
Discussion #1 Capital assets are important in all businesses.docxmecklenburgstrelitzh
 
Discussion #1Why would an economist choose either the neoclassic.docx
Discussion #1Why would an economist choose either the neoclassic.docxDiscussion #1Why would an economist choose either the neoclassic.docx
Discussion #1Why would an economist choose either the neoclassic.docxmecklenburgstrelitzh
 

More from mecklenburgstrelitzh (20)

Discussion (Chapter 5) What is the relationship between Naïve Bayes.docx
Discussion (Chapter 5) What is the relationship between Naïve Bayes.docxDiscussion (Chapter 5) What is the relationship between Naïve Bayes.docx
Discussion (Chapter 5) What is the relationship between Naïve Bayes.docx
 
Discussion (Chapter 4) What are the privacy issues with data mini.docx
Discussion (Chapter 4) What are the privacy issues with data mini.docxDiscussion (Chapter 4) What are the privacy issues with data mini.docx
Discussion (Chapter 4) What are the privacy issues with data mini.docx
 
Discussion (Chapter 3) Why are the originalraw data not readily us.docx
Discussion (Chapter 3) Why are the originalraw data not readily us.docxDiscussion (Chapter 3) Why are the originalraw data not readily us.docx
Discussion (Chapter 3) Why are the originalraw data not readily us.docx
 
Discussion (Chapter 5) What is the relationship between Naïve B.docx
Discussion (Chapter 5) What is the relationship between Naïve B.docxDiscussion (Chapter 5) What is the relationship between Naïve B.docx
Discussion (Chapter 5) What is the relationship between Naïve B.docx
 
Discussion (Chapter 10 in the textbook or see the ppt) For ea.docx
Discussion (Chapter 10 in the textbook or see the ppt) For ea.docxDiscussion (Chapter 10 in the textbook or see the ppt) For ea.docx
Discussion (Chapter 10 in the textbook or see the ppt) For ea.docx
 
Discussion (400 words discussion + 150 words student response)Co.docx
Discussion (400 words discussion + 150 words student response)Co.docxDiscussion (400 words discussion + 150 words student response)Co.docx
Discussion (400 words discussion + 150 words student response)Co.docx
 
Discussion (150-200 words) Why do you think so much emphasis is pla.docx
Discussion (150-200 words) Why do you think so much emphasis is pla.docxDiscussion (150-200 words) Why do you think so much emphasis is pla.docx
Discussion (150-200 words) Why do you think so much emphasis is pla.docx
 
discussion (11)explain the concept of information stores as th.docx
discussion (11)explain the concept of information stores as th.docxdiscussion (11)explain the concept of information stores as th.docx
discussion (11)explain the concept of information stores as th.docx
 
Discussion #5 How progressive was the Progressive EraThe Progres.docx
Discussion #5 How progressive was the Progressive EraThe Progres.docxDiscussion #5 How progressive was the Progressive EraThe Progres.docx
Discussion #5 How progressive was the Progressive EraThe Progres.docx
 
Discussion #4, Continued Work on VygotskyA. Why is it important .docx
Discussion #4, Continued Work on VygotskyA. Why is it important .docxDiscussion #4, Continued Work on VygotskyA. Why is it important .docx
Discussion #4, Continued Work on VygotskyA. Why is it important .docx
 
Discussion #4 What are the most common metrics that make for an.docx
Discussion #4 What are the most common metrics that make for an.docxDiscussion #4 What are the most common metrics that make for an.docx
Discussion #4 What are the most common metrics that make for an.docx
 
Discussion #3What is your perception of the community health.docx
Discussion #3What is your perception of the community health.docxDiscussion #3What is your perception of the community health.docx
Discussion #3What is your perception of the community health.docx
 
Discussion #3This week’s reading provides overview of the re.docx
Discussion #3This week’s reading provides overview of the re.docxDiscussion #3This week’s reading provides overview of the re.docx
Discussion #3This week’s reading provides overview of the re.docx
 
Discussion #2When would you consult with the nurse informatici.docx
Discussion #2When would you consult with the nurse informatici.docxDiscussion #2When would you consult with the nurse informatici.docx
Discussion #2When would you consult with the nurse informatici.docx
 
Discussion #2What are the privacy issues with data mining Do y.docx
Discussion #2What are the privacy issues with data mining Do y.docxDiscussion #2What are the privacy issues with data mining Do y.docx
Discussion #2What are the privacy issues with data mining Do y.docx
 
Discussion #2 Reconstructing the NationThe Civil War ended .docx
Discussion #2 Reconstructing the NationThe Civil War ended .docxDiscussion #2 Reconstructing the NationThe Civil War ended .docx
Discussion #2 Reconstructing the NationThe Civil War ended .docx
 
Discussion #2 - Modifying Events and Consequences...The TextCh.docx
Discussion #2 - Modifying Events and Consequences...The TextCh.docxDiscussion #2 - Modifying Events and Consequences...The TextCh.docx
Discussion #2 - Modifying Events and Consequences...The TextCh.docx
 
Discussion #1 Research the ways compensated absences should be a.docx
Discussion #1 Research the ways compensated absences should be a.docxDiscussion #1 Research the ways compensated absences should be a.docx
Discussion #1 Research the ways compensated absences should be a.docx
 
Discussion #1 Capital assets are important in all businesses.docx
Discussion #1 Capital assets are important in all businesses.docxDiscussion #1 Capital assets are important in all businesses.docx
Discussion #1 Capital assets are important in all businesses.docx
 
Discussion #1Why would an economist choose either the neoclassic.docx
Discussion #1Why would an economist choose either the neoclassic.docxDiscussion #1Why would an economist choose either the neoclassic.docx
Discussion #1Why would an economist choose either the neoclassic.docx
 

Recently uploaded

Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceSamikshaHamane
 
Quarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up FridayQuarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up FridayMakMakNepo
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Celine George
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersSabitha Banu
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Celine George
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Jisc
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxAnupkumar Sharma
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxRaymartEstabillo3
 
Planning a health career 4th Quarter.pptx
Planning a health career 4th Quarter.pptxPlanning a health career 4th Quarter.pptx
Planning a health career 4th Quarter.pptxLigayaBacuel1
 
What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPCeline George
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxOH TEIK BIN
 
ROOT CAUSE ANALYSIS PowerPoint Presentation
ROOT CAUSE ANALYSIS PowerPoint PresentationROOT CAUSE ANALYSIS PowerPoint Presentation
ROOT CAUSE ANALYSIS PowerPoint PresentationAadityaSharma884161
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course for BeginnersFull Stack Web Development Course for Beginners
Full Stack Web Development Course for BeginnersSabitha Banu
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTiammrhaywood
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designMIPLM
 

Recently uploaded (20)

Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in Pharmacovigilance
 
Quarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up FridayQuarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up Friday
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginners
 
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
 
Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
 
Planning a health career 4th Quarter.pptx
Planning a health career 4th Quarter.pptxPlanning a health career 4th Quarter.pptx
Planning a health career 4th Quarter.pptx
 
Raw materials used in Herbal Cosmetics.pptx
Raw materials used in Herbal Cosmetics.pptxRaw materials used in Herbal Cosmetics.pptx
Raw materials used in Herbal Cosmetics.pptx
 
What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERP
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptx
 
ROOT CAUSE ANALYSIS PowerPoint Presentation
ROOT CAUSE ANALYSIS PowerPoint PresentationROOT CAUSE ANALYSIS PowerPoint Presentation
ROOT CAUSE ANALYSIS PowerPoint Presentation
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course for BeginnersFull Stack Web Development Course for Beginners
Full Stack Web Development Course for Beginners
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-design
 

Discussion (Chapter 1) Compare and contrast predictive analytics wi.docx

  • 1. Discussion (Chapter 1): Compare and contrast predictive analytics with prescriptive and descriptive analytics. Use examples. Response should be 250-300 words and with references There must be at least one APA formatted reference (and APA in-text citation) to support the thoughts in the post. Do not use direct quotes, rather rephrase the author's words and continue to use in-text citations.