“…GitHub Enterprise - Certified Learning the GitHub Enterprise Certification Material This course covers all seven domains of the the GitHub Enterprise Certification Lessons Covered Include: Domain 1: Support GitHub Enterprise for users and key stakeholders Distinguish admin tasks vs needing GitHub Support Generate support bundles and diagnostics Identify underutilized features, integrations, active teams/repos Recommend standards for workflows, branching, code review, automation Explain tooling ecosystem and CI/CD strategy Recommend workflows and tooling to teams Use GitHub APIs to extend admin capabilities Find Marketplace assets for specific needs Contrast GitHub Apps vs actions Domain 2: Manage user identities and GitHub authentication Implications of enabling SAML SSO for orgs/enterprise Steps to enable and enforce SAML SSO Require two-factor authentication Supported identity providers GitHub identity management and authorization Authentication and authorization model Supported SCIM providers How SCIM and team sync works Domain 3: Describe deployment, distribution, licensing Capabilities of GHES, GHEC, GHAE Billing models including licenses, Actions, Packages License usage statistics for orgs, enterprise, machine accounts Consumption of metered products Domain 4: Manage access and permissions Enterprise permissions and policies Organization permissions Team permissions Repository permissions Domain 5: Enable secure development and compliance How GitHub supports enterprise security Scrubbing sensitive data Choosing policies for control required Impacts of policies Organization and enterprise policies Use audit log APIs to explain missing assets Security features of GitHub repositories Create security response plan SSH keys and deploy keys Domain 6: Manage GitHub Actions Distribute actions and workflows in enterprise Manage runners Manage encrypted secrets Domain 7: Manage GitHub Packages Supported Packages Accessing, writing, and sharing Packages Using Packages in workflows Contrasting Packages and releases Learning Objectives Manage user access and permissions across GitHub Enterprise environments through authentication, organizations, teams, and repositories. …”

“…While not mandatory, a basic understanding of statistics, machine learning, and Python will enhance your learning experience…”

“…The research spans a number of topics: culture school's external and internal collaboration patterns, diversity, well-being, tensions and conflicts in collaboration between culture school and primary school, what happens in practice when differing views about art collide, challenges that German music teachers encounter in teaching music at the primary school level, collaboration between students and children on musical theater productions, a statistical analysis of the elective primary school subject 'theater production', a look at how performative and transformative pedagogical practices with resistance, disruption, and transgression as key aspects can lead to understandings of difference and the bizarre. …”

“…We worked with all the teachers of the initial level of Tamburco. The statistical treatment according to the research design for testing the selected hypothesis was Kendall's Tau_b coefficient, which allowed reaching the inferential conclusion that there is an association between motivation and teaching performance. …”

“…For data processing, the statistical software program SPSS version 24 was used. …”

“…Conclusions: (1) The skeletal anchoring devices perform the absolute intrusion of the posterior teeth, favoring mandibular anterorotation and consequently producing the closure of the anterior open bite. (2) The extraction of dental pieces for the only purpose of a decrease in the vertical dimension of a patient and increased overbite in the treatment of open bite is not justified since the differences in treatment in patients treated with extractions with respect to patients treated without extrac-tions are not statistically significant…”

“…The extraction of dental pieces for the only purpose of a decrease in the vertical dimension of a pa-tient and increased overbite in the treatment of open bite is not justified since the differences in treatment in patients treated with extractions with respect to patients treated without extractions are not statistically significant…”

“…Zhou has been teaching various courses in computer science, data science, mathematics, statistics, and informatics. His major research interests include data mining, bioinformatics, software agents, and blockchain. …”

“…More specific models include those that emphasize the physiological underpinnings of expertise in different activities, cognitive techniques used to enhance performance, tactics within competitive activities, strategies pertaining to repeated performances, supportive influences on the development and retention of expertise, and statistical modeling of age trends. From a life span perspective, such modeling should take account of three temporal trends that, by consensus, provide the methodological foundations for lifespan research. …”

“…Flavio Morgado is a food engineer with an MSc. degree in food science and technology, a VBA professional developer, and a professor of epidemiology, statistics, and medical informatics at UNIFESO, a health sciences university in Rio de Janeiro, Brazil. …”

“…Part III also goes into the nuts and bolts of modern predictive analytics, discussing such terms as AI = Artificial Intelligence, Machine Learning, Deep Learning, and the more traditional aspects of analytics that feed into modern analytics like Statistics, Forecasting, Optimization, and Simulation. …”

“…The corpus, which has been elaborated on the basis of a specifically developed online title-database consisting of over 3.000 Spanish, bi- and multilingual printed works, is analyzed by combining quantification and qualification methods. The statistical evaluation of book production and distribution of languages and domains associated therewith have been integrated, or rather validated, by qualitative comments on exemplary single works. …”

“…You're a security professional with some scripting skills and you want to apply data science techniques to your work to analyze data more efficiently You're a network analyst with some scripting skills and you want to use machine learning techniques to better secure your network Prerequisites: You should have beginner- to intermediate-level experience with the Python programming language You should be familiar with security and networking concepts You should be generally familiar with basic statistical concepts Materials or downloads needed in advance: You're encouraged to use the Griffon Virtual Machine for Data Science, which is available at https://github.com/gtkcyber/griffon-vm. …”

“…You're a security professional with some scripting skills and you want to apply data science techniques to your work to analyze data more efficiently You're a network analyst with some scripting skills and you want to use machine learning techniques to better secure your network Prerequisites: You should have beginner- to intermediate-level experience with the Python programming language You should be familiar with security and networking concepts You should be generally familiar with basic statistical concepts Materials or downloads needed in advance: Students are encouraged to use the Griffon Virtual Machine for Data Science, which is available at https://github.com/gtkcyber/griffon-vm. …”

“…Enterprise Solutions Architect - Generative AI, NVIDIA Vinoo Ganesh: Speaker, Technologist, and Startup Advisor Amey Dharwadker: Engineering Leader, Machine Learning at Meta Bill Schmarzo: Dean of Big Data, Bestselling AI author Maria Parysz: AI Practitioner, CEO and Owner at LogicAI & RecoAI, ElephantAI Sadid Hasan: AI Lead, Microsoft Andreas Welsch: Chief AI Strategist, Intelligence Briefing Aleksander Molak: Causality Advocate, Bestselling Author, AI Researcher & Strategist Shyam Varan Nath: Specialist Leader - AI & Analytics, Deloitte Sebastian Raschka: Sebastian Raschka is an Assistant Professor of Statistics at the University of Wisconsin-Madison focusing on machine learning and deep learning research. …”

“…You're a security professional with some scripting skills and you want to apply data science techniques to your work to analyze data more efficiently You're a network analyst with some scripting skills and you want to use machine learning techniques to better secure your network Prerequisites: You should have beginner- to intermediate-level experience with the Python programming language You should be familiar with security and networking concepts You should be generally familiar with basic statistical concepts Materials or downloads needed in advance: Students are encouraged to use the Griffon Virtual Machine for Data Science, which is available at https://github.com/gtkcyber/griffon-vm. …”

“…Metaanalyses of studies of community mental health teams found a near statistically significant reduction of total mortality and death from suicide10. …”

“…Through the study of the issue of child and youth editorial subsector nationwide, using the statistical information provided by the Panorámica de la Edición Española de Libros, is a comparison between them. …”
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“…Data analysis: The data will be analyzed with the SPSS v.22® statistical package. The quantitative variables were described by means and the qualitative ones through frequencies and percentages. …”