Search result for Metrics for evaluation Online Courses & Certifications
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Disease Screening in Public Health
by Antoine Flahault , Fred Paccaud (In Partnership with UNIGE) , Gillian Bartlett-Esquilant- 4.6
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Approx. 22 hours to complete
The increasing prevalence of these conditions together with the long incubation period of the chronic diseases and the continual technological innovations, offer new opportunities to develop strategies for early diagnosis. Target Populations for Screening Reading List for Concepts Evaluation of Screening Programs Example of a Decision Aid for Screening Policies and evaluation...
Data Science Project: MATLAB for the Real World
by Michael Reardon , Brandon Armstrong , Erin Byrne , Adam Filion , Heather Gorr , Maria Gavilan-Alfonso , Matt Rich , Isaac Bruss- 4.8
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Approx. 13 hours to complete
Tasks for Creating the Taxi Regions Tasks for Exploring and Cleaning the Taxi Data Tasks for Creating the Grouped Summary Table Your Tasks for the Module Exploring the Demand for Taxis Preparing for Your Final Report...
Simple image classification using KNN
by Evergreen Technologies- 4.1
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2.5 hours on-demand video
Learn evaluation metrics such as precision, recall, F1 score Suitable for beginner programmers and ideal for executives who would like to learn intuition behind image classification....
$9.99
Health Care Innovation
by Christian Terwiesch , Amol S. Navathe, MD, PhD , David A. Asch, MD, MBA , Roy Rosin, MBA , Kevin Volpp, MD, PhD- 4.6
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Approx. 7 hours to complete
You’ll also explore the best practices for evaluating one’s innovative practices, using real-life examples of success to see the concepts in action. Introduction to Evaluation Approaches to Evaluation Introduction: Framework for Intervention...
Data, Analytics and Learning
by George Siemens , Carolyn Rosé , Dragan Gašević , Ryan Baker- 0.0
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4 Weeks
The course will provide a broad overview of the field, suitable for a broad audience. How to perform social network analysis, interpret the analysis for the study of networked learning, and visualize the analysis results in Gephi Evaluation issues, key diagnostic metrics and their uses, and validity issues...
Quantitative Formal Modeling and Worst-Case Performance Analysis
by Dr.ir. Pieter Cuijpers , Anne Remke- 0.0
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Approx. 17 hours to complete
So this course is a good primer for any more advanced course on the topic. This course is part of the university course on Quantitative Evaluation of Embedded Systems (QEES) as given in the Embedded Systems master curriculum of the EIT-Digital university, and of the Dutch 3TU consortium consisting of TU/e (Eindhoven), TUD (Delft) and UT (Twente)....
Sales Operations: Final Project
by Emily C. Tanner, Ph.D. , Suzanne C. Bal , Michael F. Walsh, Ph.D.- 4.7
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Approx. 15 hours to complete
In the final project for the Sales Operations/Management Specialization, learners will be asked to apply the knowledge they have obtained by performing a critical analysis of a real-world business. The learners are to identify the manager responsible for the sales function (typically called a Sales Manager) and interview this person on the sales management practices at this firm....
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Structuring Machine Learning Projects
by Andrew NgTop Instructor , Younes Bensouda MourriTop Instructor , Kian KatanforooshTop Instructor- 4.8
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Approx. 6 hours to complete
By the end, you will be able to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning. Single Number Evaluation Metric...
Software Defined Networking
by Umakishore Ramchandran- 0.0
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Approx. 6 hours to complete
IP Address for Containers (Nisheeth Srivastava) DC Networking: Testing, Debugging, and Traffic Evaluation Tools for Testing, Debugging and Verification...
Applied Data Science for Data Analysts
by Kevin Coyle , Mark Roepke , Emma Freeman- 4.2
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Approx. 16 hours to complete
NOTE: This is the third and final course in the Data Science with Databricks for Data Analysts Coursera specialization. These courses are: Apache Spark for Data Analysts and Data Science Fundamentals for Data Analysts. PCA for Feature Relationships PCA for Dimensionality Reduction A Review of Classification Evaluation Metrics Classification Evaluation Grid Search for Hyperparameter Optimization Grid-search for Random Forests...
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