Dr. Mustafa Degerli - 2020 - Artificial Intelligence Foundations Neural Networks

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Dr. Mustafa Değerli

Business

Certificate of Completion
Congratulations, Dr. Mustafa Değerli
Artificial Intelligence Foundations:
Neural Networks
Course completed on Apr 6, 2020 • 1 hour 16 min
By continuing to learn, you have expanded your perspective, sharpened your
skills, and made yourself even more in demand.
VP, Learning Content at LinkedIn
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Certificate of completion for course Salesforce Einstein Analytics, issued by LinkedIn Learning. Salesforce Einstein is a set of AI technologies that allow Salesforce users to use algorithms to analyze data inside Salesforce. Einstein can be used to automate reports, pinpoint workflow needs, and even analyze the effectiveness of teams. In this course, learn how to work with Einstein in Salesforce. Discover precisely what this powerful solution has to offer, so that you can determine if it meshes with your organization's needs. Discover how Einstein can help you work smarter in Sales Cloud, the Marketing Cloud, communities, and more. Learning Objectives: - What is Salesforce Einstein? - Requirements for AI success - Einstein Account Insights - Einstein Activity Capture and Automated Contacts - Einstein recommendations in the Marketing Cloud - Social Insights - Einstein recommendations in communities Content 1. What and where is Einstein - How Einstein works - Requirements for AI success - Setting up Einstein - Einstein features 2. Einstein in Sales Cloud - Einstein Lead Scoring - Einstein Opportunity Insights - Einstein Account Insights - Einstein Activity Capture and Automated Contacts 3. Einstein in Marketing Cloud - Einstein recommendations in the Marketing Cloud - Social Insights - Einstein Segmentation and DMP 4. Einstein in Communities - Einstein recommendations in communities - Einstein Trending Posts

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Declarations of Software Engineering Project Managers Managing Remotely: Provisions for Hybrid Working Dr. Mustafa Degerli Mustafa Degerli Graduate School of Informatics Middle East Technical University Ankara, Turkey mustafa.degerli@metu.edu.tr Abstract—Owing to the landscape of the relevant work, software engineering organizations or teams are more prone to implement and benefit from remote working or hybrid working venues. The freshest pandemic brought about farther obligations and chances for organizations to practically experience and test the mode of working remotely. Correspondingly, for a noteworthy number of organizations, the new standard of working embraces remote working applications. Taking into account this actuality, the research has been conducted to comprehend the perspectives of software engineering project managers having experiences of managing remotely. Unambiguously, semi-structured interviews with 27 project managers from different industries were principally conducted to explore and extract the relevant involvements and interpretations. Outcomes revealed that the new standard of working for software development organizations ought to be the hybrid approach. Furthermore, via analyzing the collected pertinent data, foremost affirmations of software engineering project managers have been apprehended and commented on. The conclusions of this work are to be advantageous for relevant project managers, policymakers in software development organizations, and other scholars researching the evolving dynamics of workforce management applications in software engineering organizations. Keywords—software engineering, project management, workforce management, hybrid working, remote working

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