Mobile Edge Computing A Complete Guide 2019 Edition

Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655925903
Total Pages : 310 pages
Book Rating : 4.9/5 (259 download)

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Download or read book Edge Computing Machine Learning A Complete Guide - 2020 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-09-23 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: What will drive edge computing machine learning change? Who will provide the final approval of edge computing machine learning deliverables? Is the impact that edge computing machine learning has shown? How does your organization evaluate strategic edge computing machine learning success? How do you assess your edge computing machine learning workforce capability and capacity needs, including skills, competencies, and staffing levels? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Edge Computing Machine Learning investments work better. This Edge Computing Machine Learning All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Edge Computing Machine Learning Self-Assessment. Featuring 955 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Edge Computing Machine Learning improvements can be made. In using the questions you will be better able to: - diagnose Edge Computing Machine Learning projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Edge Computing Machine Learning and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Edge Computing Machine Learning Scorecard, you will develop a clear picture of which Edge Computing Machine Learning areas need attention. Your purchase includes access details to the Edge Computing Machine Learning self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Edge Computing Machine Learning Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.