№ lp_1_12516
File format: docx
Character count: 5729
File size: 3406 KB
The document is a problem set for a university course that covers tasks related to the creation of neural networks and the use of diffusion models, including hands-on work with the Stanford Cars dataset.
Year:
2024
Region / city:
Stanford University
Subject:
Artificial Intelligence, Machine Learning
Document Type:
Problem Set
Author:
Christoph F. Eick, Raunak Sarbajna, Md/Mahin
Target Audience:
Students of COSC 4368
Period of Action:
Spring 2024
Submission Deadline:
November 21, 11:59p
Responsible TA:
Farzana Yasmin
Last Updated:
September 2, 8a
Task Weight:
20% of the Problem Set Points
Dataset:
Stanford Cars
Note:
Learning Objectives
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Date:
May 3, 2016
Course:
COSC 4355
Subject:
Data Mining
Topics Covered:
Association Rule Mining, Outlier Detection, Classification, Preprocessing, PageRank
Document Type:
Exam Review
Institution:
Not specified
Intended Audience:
Students enrolled in COSC 4355
Question Format:
Short-answer and problem-solving questions with point allocations
Algorithms Mentioned:
APRIORI, Support Vector Machine, k-Nearest Neighbor, Decision Tree Induction, PageRank
Evaluation Measures:
Support, Confidence, Lift, GINI, Gain Ratio, Information Gain
Source Type:
Educational course material
Year:
2026
Note:
Region / City
Subject:
Data Science / Group Project
Document Type:
Academic Assignment
Author:
Janet Anagli, Christoph F. Eick
Target Audience:
Students
Date of Changes:
Feb. 12, 2026
Deadline:
March 29, 2026
Year:
2013
Course:
COSC 6342 Machine Learning
Type of Document:
Exam
Format:
Open book, no computers allowed
Duration:
120 minutes
Weight toward grade:
33%
Problems:
9
Topics:
Information Gain, Ensemble Methods, Reinforcement Learning, Belief Networks, Kernel Methods, Support Vector Machines, K-means, Non-parametric Density Estimation
Target Audience:
Graduate students in computer science
Instructor / Institution:
Not specified
Course:
COSC 4335
Institution:
University-level computer science course
Instructor:
Dr. Eick
Document Type:
Course assignment
Subject Area:
Data Mining and Clustering Algorithms
Algorithms Covered:
K-means, DBSCAN
Programming Language:
R
Datasets:
Complex8 dataset; HAbalone dataset (modified Abalone dataset)
Original Dataset Source:
UCI Machine Learning Repository Abalone Dataset
Project Type:
Individual project
Learning Objectives:
Clustering analysis, interpretation of clustering results, R function development, unsupervised data mining analysis, use of background knowledge in data mining
Assignment Tasks:
Dataset transformation; implementation of purity evaluation function; clustering analysis with K-means and DBSCAN
Submission Deadline:
March 18, 2015, 11p (early submission bonus)
Final Deadline:
March 24, 2015, 11p
Document Version:
Fourth Draft
Last Updated:
Feb. 16, 2015, 2:30p
Year:
2023
Region / City:
United States
Topic:
Apprenticeship, Carpentry, Safety Training, Construction Skills
Document Type:
Apprenticeship Program Guide
Organization:
Various Employers, Educational Institutions
Author:
N/A
Target Audience:
Youth apprentices, employers, mentors, educational coordinators
Period of Validity:
N/A
Approval Date:
N/A
Date of Changes:
N/A
Year:
2022
Region / City:
New South Wales, Australia
Subject:
Software Engineering
Document Type:
Curriculum Program
Institution:
NSW Department of Education
Author:
NSW Department of Education
Target Audience:
Teachers in New South Wales
Duration:
10 weeks
Date of Approval:
2022
Assessment:
Included
Year:
2026
Region / City:
USA
Topic:
Research Performance Progress Reports
Document Type:
Training Module
Organization / Institution:
National Institutes of Health (NIH)
Author:
Not specified
Target Audience:
Research administrators, principal investigators, postdocs
Period of Validity:
Ongoing
Approval Date:
Not specified
Amendment Date:
Not specified
Year:
2026
Region / City:
United States
Topic:
Distance Learning, Acquisition Management
Document Type:
Course Design Document
Organization / Institution:
DAU, GDIT
Author:
GDIT, DAU SMEs, Instructional System Designers
Target Audience:
Individuals new to DoD acquisition management or starting their career in the acquisition management field
Period of Validity:
N/A
Approval Date:
N/A
Modification Date:
N/A
Context:
This document is a course design outline for ACQ 101, focusing on the revision of a distance learning course on system acquisition management for the Department of Defense.
Year:
2026
Region / City:
United States
Topic:
Law / Civil Procedure
Document Type:
Educational Assessment / Quiz
Target Audience:
Law students or legal practitioners
Subject:
Jurisdiction, Court Procedure, Alternative Dispute Resolution
Format:
True/False and Multiple-Choice Questions
Number of Questions:
43
Year:
N/A
Region / City:
N/A
Topic:
Geography, Geospatial Data, Google Earth
Document Type:
Guide
Author:
Peter A. Selkin, Declan G. De Paor
Target Audience:
Students, Google Earth Users
Date of Approval:
N/A
Date of Changes:
N/A
Year:
2023
Region / City:
Global
Subject:
Internal controls, auditing, financial controls
Document Type:
Lecture notes
Organization / Institution:
Not specified
Author:
Not specified
Target Audience:
Auditors, accounting professionals
Period of Validity:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
N/A
Region / City:
N/A
Subject:
Accounting
Document Type:
Course Syllabus
Institution:
University of Utah
Author:
Reyn Judd
Target Audience:
Students enrolled in ACCTG 5050
Period of Validity:
Fall Semester (Assumed)
Approval Date:
N/A
Date of Changes:
N/A
Year:
2023
Region / city:
Papua New Guinea
Topic:
Nursing Education
Document Type:
Subject Outline
Institution:
School of Nursing
Author:
Not specified
Target Audience:
Nursing students
Period of validity:
Autumn Semester
Approval Date:
Not specified
Date of changes:
Not specified
Year:
2023
Region / City:
Global
Topic:
IBM Operational Decision Manager
Document type:
Course Description
Organization / Institution:
IBM
Author:
IBM Training
Target Audience:
Solution Architects
Period of validity:
N/A
Approval Date:
N/A
Date of modifications:
N/A
Year:
2021
Region / City:
Global
Subject:
Business Process Management, Automation
Document Type:
Course Description
Organization / Institution:
IBM
Author:
IBM Training Team
Target Audience:
Solution Architects
Duration:
1 day
Prerequisites:
None
Course Level:
Basic
Note:
Learning Objectives
Note:
Year
Type of document:
Religious study lesson
Topic:
Church organization, fellowship, and worship
Source/Organization:
Grace to You (www.gty.org
Author:
John MacArthur
Scripture references:
Hebrews 10:24-25; Colossians 1:18; Ephesians 5:23; Acts 20:28; 1 Corinthians 12:13; Ephesians 4:11-12; 1 Timothy 3:1-13; Titus 1:6-9; 1 Peter 5:1-2; Galatians 6:6; Philippians 2:1-4; 1 John 1:3; 2 Corinthians 6:14-15; Romans 14:9; Galatians 5:13; Galatians 6:2; James 5:16; 1 Peter 4:10-11; John 4:23-24; Revelation 4:10-11
Intended audience:
Christian believers seeking structured Bible study
Assignment preparation:
Notes required from downloaded message #9, “The Body of Christ”
Period covered:
Early Church practices and teachings
Note:
Year
Subject:
Quality Management Systems
Document Type:
Guideline
Target Audience:
Laboratory professionals and management
Year:
YYYY
Note:
Region / city
Subject:
Computer Science, Programming
Document type:
Syllabus
Target audience:
Students of CS 1400
Course Description:
CS 1400 introduces techniques and tools to formulate and solve problems where computer algorithms and programs are a core part of an effective, repeatable solution.
Note:
Year
Subject:
Aviation Maintenance
Document Type:
Unit of Competency
Organization / Institution:
Civil Aviation Safety Authority (CASA)
Target Audience:
Aviation maintenance professionals
Description:
This document outlines the skills and knowledge required for selecting and using tools and equipment for scheduled and unscheduled aircraft maintenance, following industry standards and regulatory guidelines.