Cloud AI Platform A Complete Guide - 2019 Edition

Cloud AI Platform A Complete Guide - 2019 Edition PDF Author: Gerardus Blokdyk
Publisher:
ISBN: 9780655893820
Category :
Languages : en
Pages : 0

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Book Description

Cloud AI Platform A Complete Guide - 2019 Edition

Cloud AI Platform A Complete Guide - 2019 Edition PDF Author: Gerardus Blokdyk
Publisher:
ISBN: 9780655893820
Category :
Languages : en
Pages : 0

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Book Description


Cloud AI A Complete Guide - 2019 Edition

Cloud AI A Complete Guide - 2019 Edition PDF Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655835974
Category :
Languages : en
Pages : 296

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Book Description
What is your plan to assess your security risks? Does your organization need more Cloud AI education? Are you satisfied with your current role? If not, what is missing from it? How does the organization define, manage, and improve its Cloud AI processes? Why do and why don't your customers like your organization? 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 Cloud AI investments work better. This Cloud AI All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Cloud AI Self-Assessment. Featuring 904 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Cloud AI improvements can be made. In using the questions you will be better able to: - diagnose Cloud AI 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 Cloud AI and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Cloud AI Scorecard, you will develop a clear picture of which Cloud AI areas need attention. Your purchase includes access details to the Cloud AI 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 Cloud AI 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.

Cloud AI Platform A Complete Guide - 2019 Edition

Cloud AI Platform A Complete Guide - 2019 Edition PDF Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655843832
Category :
Languages : en
Pages : 304

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Book Description
Where is it measured? What counts that you are not counting? Why should people listen to you? How to cause the change? What is the root cause(s) of the problem? 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 Cloud AI Platform investments work better. This Cloud AI Platform All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Cloud AI Platform Self-Assessment. Featuring 921 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Cloud AI Platform improvements can be made. In using the questions you will be better able to: - diagnose Cloud AI Platform 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 Cloud AI Platform and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Cloud AI Platform Scorecard, you will develop a clear picture of which Cloud AI Platform areas need attention. Your purchase includes access details to the Cloud AI Platform 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 Cloud AI Platform 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.

AI Cloud A Complete Guide - 2019 Edition

AI Cloud A Complete Guide - 2019 Edition PDF Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655836278
Category :
Languages : en
Pages : 298

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Book Description
What AI cloud improvements can be made? What is your BATNA (best alternative to a negotiated agreement)? How do you transition from the baseline to the target? How do you mitigate AI cloud risk? For estimation problems, how do you develop an estimation statement? 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 AI Cloud investments work better. This AI Cloud All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth AI Cloud Self-Assessment. Featuring 949 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which AI Cloud improvements can be made. In using the questions you will be better able to: - diagnose AI Cloud 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 AI Cloud and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the AI Cloud Scorecard, you will develop a clear picture of which AI Cloud areas need attention. Your purchase includes access details to the AI Cloud 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 AI Cloud 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.

AI Security Cloud A Complete Guide - 2019 Edition

AI Security Cloud A Complete Guide - 2019 Edition PDF Author: Gerardus Blokdyk
Publisher:
ISBN: 9780655893486
Category : Electronic books
Languages : en
Pages : 0

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Book Description
AI Security Cloud A Complete Guide - 2019 Edition.

Building Machine Learning and Deep Learning Models on Google Cloud Platform

Building Machine Learning and Deep Learning Models on Google Cloud Platform PDF Author: Ekaba Bisong
Publisher: Apress
ISBN: 1484244702
Category : Computers
Languages : en
Pages : 703

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Book Description
Take a systematic approach to understanding the fundamentals of machine learning and deep learning from the ground up and how they are applied in practice. You will use this comprehensive guide for building and deploying learning models to address complex use cases while leveraging the computational resources of Google Cloud Platform. Author Ekaba Bisong shows you how machine learning tools and techniques are used to predict or classify events based on a set of interactions between variables known as features or attributes in a particular dataset. He teaches you how deep learning extends the machine learning algorithm of neural networks to learn complex tasks that are difficult for computers to perform, such as recognizing faces and understanding languages. And you will know how to leverage cloud computing to accelerate data science and machine learning deployments. Building Machine Learning and Deep Learning Models on Google Cloud Platform is divided into eight parts that cover the fundamentals of machine learning and deep learning, the concept of data science and cloud services, programming for data science using the Python stack, Google Cloud Platform (GCP) infrastructure and products, advanced analytics on GCP, and deploying end-to-end machine learning solution pipelines on GCP. What You’ll Learn Understand the principles and fundamentals of machine learning and deep learning, the algorithms, how to use them, when to use them, and how to interpret your resultsKnow the programming concepts relevant to machine and deep learning design and development using the Python stack Build and interpret machine and deep learning models Use Google Cloud Platform tools and services to develop and deploy large-scale machine learning and deep learning products Be aware of the different facets and design choices to consider when modeling a learning problem Productionalize machine learning models into software products Who This Book Is For Beginners to the practice of data science and applied machine learning, data scientists at all levels, machine learning engineers, Google Cloud Platform data engineers/architects, and software developers

AI Security Cloud A Complete Guide - 2019 Edition

AI Security Cloud A Complete Guide - 2019 Edition PDF Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655843498
Category :
Languages : en
Pages : 308

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Book Description
What sort of initial information to gather? What have been your experiences in defining long range AI Security Cloud goals? What measurements are possible, practicable and meaningful? Does AI Security Cloud create potential expectations in other areas that need to be recognized and considered? Do you have a flow diagram of what happens? This premium AI Security Cloud self-assessment will make you the entrusted AI Security Cloud domain master by revealing just what you need to know to be fluent and ready for any AI Security Cloud challenge. How do I reduce the effort in the AI Security Cloud work to be done to get problems solved? How can I ensure that plans of action include every AI Security Cloud task and that every AI Security Cloud outcome is in place? How will I save time investigating strategic and tactical options and ensuring AI Security Cloud costs are low? How can I deliver tailored AI Security Cloud advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all AI Security Cloud essentials are covered, from every angle: the AI Security Cloud self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that AI Security Cloud outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced AI Security Cloud practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in AI Security Cloud are maximized with professional results. Your purchase includes access details to the AI Security Cloud self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. 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 AI Security Cloud 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.

Artificial Intelligence for Cloud and Edge Computing

Artificial Intelligence for Cloud and Edge Computing PDF Author: Sanjay Misra
Publisher: Springer Nature
ISBN: 3030808211
Category : Computers
Languages : en
Pages : 358

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Book Description
This book discusses the future possibilities of AI with cloud computing and edge computing. The main goal of this book is to conduct analyses, implementation and discussion of many tools (of artificial intelligence, machine learning and deep learning and cloud computing, fog computing, and edge computing including concepts of cyber security) for understanding integration of these technologies. With this book, readers can quickly get an overview of these emerging topics and get many ideas of the future of AI with cloud, edge, and in many other areas. Topics include machine and deep learning techniques for Internet of Things based cloud systems; security, privacy and trust issues in AI based cloud and IoT based cloud systems; AI for smart data storage in cloud-based IoT; blockchain based solutions for AI based cloud and IoT based cloud systems.This book is relevent to researchers, academics, students, and professionals.

Practical Deep Learning for Cloud, Mobile, and Edge

Practical Deep Learning for Cloud, Mobile, and Edge PDF Author: Anirudh Koul
Publisher: "O'Reilly Media, Inc."
ISBN: 1492034819
Category : Computers
Languages : en
Pages : 585

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Book Description
Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valley’s Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users

Official Google Cloud Certified Associate Cloud Engineer Study Guide

Official Google Cloud Certified Associate Cloud Engineer Study Guide PDF Author: Dan Sullivan
Publisher: John Wiley & Sons
ISBN: 1119564182
Category : Computers
Languages : en
Pages : 560

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Book Description
The Only Official Google Cloud Study Guide The Official Google Cloud Certified Associate Cloud Engineer Study Guide, provides everything you need to prepare for this important exam and master the skills necessary to land that coveted Google Cloud Engineering certification. Beginning with a pre-book assessment quiz to evaluate what you know before you begin, each chapter features exam objectives and review questions, plus the online learning environment includes additional complete practice tests. Written by Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Official Google Cloud Certified Associate Cloud Engineer Study Guide is your ace in the hole for deploying and managing Google Cloud Services. Select the right Google service from the various choices based on the application to be built Compute with Cloud VMs and managing VMs Plan and deploying storage Network and configure access and security Google Cloud Platform is a leading public cloud that provides its users to many of the same software, hardware, and networking infrastructure used to power Google services. Businesses, organizations, and individuals can launch servers in minutes, store petabytes of data, and implement global virtual clouds with the Google Cloud Platform. Certified Associate Cloud Engineers have demonstrated the knowledge and skills needed to deploy and operate infrastructure, services, and networks in the Google Cloud. This exam guide is designed to help you understand the Google Cloud Platform in depth so that you can meet the needs of those operating resources in the Google Cloud.