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·phoenix.edu·
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Gobekli
Gobekli
Gobekli has one repository available. Follow their code on GitHub.
·github.com·
Gobekli
Visualizing Psychological Networks: A Tutorial in R
Visualizing Psychological Networks: A Tutorial in R
Networks have emerged as a popular method for studying mental disorders. Psychopathology networks consist of aspects (e.g., symptoms) of mental disorders (nodes) and the connections between those aspects (edges). Unfortunately, the visual presentation of networks can occasionally be misleading. For instance, researchers may be tempted to conclude that nodes that appear close together are highly related, and that nodes that are far apart are less related. Yet this is not always the case. In networks plotted with force-directed algorithms, the most popular approach, the spatial arrangement of nodes is not easily interpretable. However, other plotting approaches can render node positioning interpretable. We provide a brief tutorial on several methods including multidimensional scaling, principal components plotting, and eigenmodel networks. We compare the strengths and weaknesses of each method, noting how to properly interpret each type of plotting approach.
·frontiersin.org·
Visualizing Psychological Networks: A Tutorial in R
Semantic Interoperability: Are you training your AI by mixing data sources that look the same but aren’t? - KDnuggets
Semantic Interoperability: Are you training your AI by mixing data sources that look the same but aren’t? - KDnuggets
Semantic interoperability is a challenge in AI systems, especially since data has become increasingly more complex. The other issue is that semantic interoperability may be compromised when people use the same system differently.
·kdnuggets.com·
Semantic Interoperability: Are you training your AI by mixing data sources that look the same but aren’t? - KDnuggets
Digital Learning Records Make the Job Market More Equitable and CBOs Can Help | Jobs for the Future (JFF)
Digital Learning Records Make the Job Market More Equitable and CBOs Can Help | Jobs for the Future (JFF)
Community based organizations have an important role to play in a large-scale effort to build systems that increase access to good jobs by enabling workers to share digital records of their education and employment histories with employers, schools, and training providers.
·jff.org·
Digital Learning Records Make the Job Market More Equitable and CBOs Can Help | Jobs for the Future (JFF)
Digital Credentials Consortium: Building Interoperable Learner-Centric Credentialing Infrastructure
Digital Credentials Consortium: Building Interoperable Learner-Centric Credentialing Infrastructure
The Digital Credentials Consortium was founded by 12 universities to bridge the gap between traditional academic credentials and the future of digital credentials. Core to our approach are W3C Verifiable Credentials and related standards, which enable a new digital credential infrastructure for today’s learner – one informed by learner welfare, rights, and agency. Learn about our approach, the communities we work with, the challenges we are working on, and how to get involved.
·jwel.mit.edu·
Digital Credentials Consortium: Building Interoperable Learner-Centric Credentialing Infrastructure
IMS Comprehensive Learner Record Standard v1.0: JSON-LD Context 1.0 IMS Final Release
IMS Comprehensive Learner Record Standard v1.0: JSON-LD Context 1.0 IMS Final Release
The IMS Comprehensive Learner Record (CLR) Standard has been designed to create, transmit, and render an individual's set of achievements, as issued by multiple learning providers, in a machine-readable format that can be curated into verifiable digital records of achievement.
·purl.imsglobal.org·
IMS Comprehensive Learner Record Standard v1.0: JSON-LD Context 1.0 IMS Final Release
PlugFest 1 Cohort - Google Sheets
PlugFest 1 Cohort - Google Sheets
Participant Info Cohort,Organization,First Name,Last Name,Email,Other Contacts,Wallet,Credential Assertion Format (production),DID Methods,Signature Suite,Protocol for Obtaining and Storing VCs,Comments on your demo that will help us group presentations more logically,Public Link,Timezone,Issuer...
·docs.google.com·
PlugFest 1 Cohort - Google Sheets
The power of Machine Learning to drive Talent Acquisition - Profinda
The power of Machine Learning to drive Talent Acquisition - Profinda
By Rob Hill, CRO at ProFinda Can a Machine Learning powered Knowledge Graph transform Talent Acquisition? The true transformation of talent acquisition will only occur when we start to focus the power of Machine Intelligence on understanding and mapping out the knowledge contained within an organisation. This can be achieved by building a knowledge graph of … The power of Machine Learning to drive Talent Acquisition Read More »
·profinda.com·
The power of Machine Learning to drive Talent Acquisition - Profinda