[PDF] Ai Analytics A Complete Guide 2019 Edition eBook

Ai Analytics A Complete Guide 2019 Edition Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Ai Analytics A Complete Guide 2019 Edition book. This book definitely worth reading, it is an incredibly well-written.

AI Analytics A Complete Guide - 2019 Edition

Author : Gerardus Blokdyk
Publisher : 5starcooks
Page : 304 pages
File Size : 30,86 MB
Release : 2019-07-10
Category :
ISBN : 9780655820444

GET BOOK

How can you become more high-tech but still be high touch? How is implementation research currently incorporated into each of your goals? For decision problems, how do you develop a decision statement? How do you deal with AI analytics changes? What activities does the governance board need to consider? This valuable AI Analytics self-assessment will make you the reliable AI Analytics domain auditor by revealing just what you need to know to be fluent and ready for any AI Analytics challenge. How do I reduce the effort in the AI Analytics work to be done to get problems solved? How can I ensure that plans of action include every AI Analytics task and that every AI Analytics outcome is in place? How will I save time investigating strategic and tactical options and ensuring AI Analytics costs are low? How can I deliver tailored AI Analytics 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 Analytics essentials are covered, from every angle: the AI Analytics self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that AI Analytics outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced AI Analytics 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 Analytics are maximized with professional results. Your purchase includes access details to the AI Analytics 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 Analytics 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.

Analytics And Artificial Intelligence A Complete Guide - 2019 Edition

Author : Gerardus Blokdyk
Publisher : 5starcooks
Page : 310 pages
File Size : 14,80 MB
Release : 2019-07-31
Category :
ISBN : 9780655838005

GET BOOK

In retrospect, of the projects that you pulled the plug on, what percent do you wish had been allowed to keep going, and what percent do you wish had ended earlier? Who is going to spread your message? Are missed analytics and artificial intelligence opportunities costing your organization money? How do you define collaboration and team output? How likely is it that a customer would recommend your company to a friend or colleague? 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 Analytics And Artificial Intelligence investments work better. This Analytics And Artificial Intelligence All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Analytics And Artificial Intelligence Self-Assessment. Featuring 948 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Analytics And Artificial Intelligence improvements can be made. In using the questions you will be better able to: - diagnose Analytics And Artificial Intelligence 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 Analytics And Artificial Intelligence and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Analytics And Artificial Intelligence Scorecard, you will develop a clear picture of which Analytics And Artificial Intelligence areas need attention. Your purchase includes access details to the Analytics And Artificial Intelligence 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 Analytics And Artificial Intelligence 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.

A Practical Guide to Artificial Intelligence and Data Analytics

Author : Rayan Wali
Publisher : Rayan Wali
Page : 605 pages
File Size : 36,93 MB
Release : 2021-06-12
Category : Computers
ISBN :

GET BOOK

Whether you are looking to prepare for AI/ML/Data Science job interviews or you are a beginner in the field of Data Science and AI, this book is designed for engineers and AI enthusiasts like you at all skill levels. Taking a different approach from a traditional textbook style of instruction, A Practical Guide to AI and Data Analytics touches on all of the fundamental topics you will need to understand deeper into machine learning and artificial intelligence research, literature, and practical applications with its four parts: Part I: Concept Instruction Part II: 8 Full-Length Case Studies Part III: 50+ Mixed Exercises Part IV: A Full-Length Assessment With an illustrative approach to instruction, worked examples, and case studies, this easy-to-understand book simplifies many of the AI and Data Analytics key concepts, leading to an improvement of AI/ML system design skills.

AI And Data Analytics A Complete Guide - 2019 Edition

Author : Gerardus Blokdyk
Publisher : 5starcooks
Page : 308 pages
File Size : 36,77 MB
Release : 2019-07-17
Category :
ISBN : 9780655825401

GET BOOK

What is the magnitude of the improvements? In the past year, what have you done (or could you have done) to increase the accurate perception of your company/brand as ethical and honest? What are your current levels and trends in key measures or indicators of workforce and leader development? Will the team be available to assist members in planning investigations? What is the range of capabilities? 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 And Data Analytics investments work better. This AI And Data Analytics All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth AI And Data Analytics Self-Assessment. Featuring 959 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 And Data Analytics improvements can be made. In using the questions you will be better able to: - diagnose AI And Data Analytics 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 And Data Analytics and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the AI And Data Analytics Scorecard, you will develop a clear picture of which AI And Data Analytics areas need attention. Your purchase includes access details to the AI And Data Analytics 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 And Data Analytics 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.

Analytics And Machine Learning A Complete Guide - 2019 Edition

Author : Gerardus Blokdyk
Publisher : 5starcooks
Page : 310 pages
File Size : 32,98 MB
Release : 2019-07-31
Category :
ISBN : 9780655835431

GET BOOK

What sources do you use to gather information for a Analytics and Machine Learning study? What is the Analytics and Machine Learning Driver? What will drive Analytics and Machine Learning change? Do you recognize Analytics and Machine Learning achievements? What are the Analytics and Machine Learning investment costs? 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 Analytics And Machine Learning investments work better. This Analytics And Machine Learning All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Analytics And Machine Learning Self-Assessment. Featuring 958 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Analytics And Machine Learning improvements can be made. In using the questions you will be better able to: - diagnose Analytics And 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 Analytics And Machine Learning and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Analytics And Machine Learning Scorecard, you will develop a clear picture of which Analytics And Machine Learning areas need attention. Your purchase includes access details to the Analytics And 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 Analytics And 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.

Deep Learning Illustrated

Author : Jon Krohn
Publisher : Addison-Wesley Professional
Page : 725 pages
File Size : 29,70 MB
Release : 2019-08-05
Category : Computers
ISBN : 0135121728

GET BOOK

"The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come." – Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep Learning Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn. World-class instructor and practitioner Jon Krohn–with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens–presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered. You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms. Discover what makes deep learning systems unique, and the implications for practitioners Explore new tools that make deep learning models easier to build, use, and improve Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

AI Data A Complete Guide - 2019 Edition

Author : Gerardus Blokdyk
Publisher : 5starcooks
Page : 298 pages
File Size : 15,14 MB
Release : 2019-07-31
Category :
ISBN : 9780655836995

GET BOOK

What improvements have been achieved? What extra resources will you need? Would you recognize a threat from the inside? What are your primary costs, revenues, assets? What have you done to protect your business from competitive encroachment? 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 Data investments work better. This AI Data All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth AI Data Self-Assessment. Featuring 916 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 Data improvements can be made. In using the questions you will be better able to: - diagnose AI Data 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 Data and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the AI Data Scorecard, you will develop a clear picture of which AI Data areas need attention. Your purchase includes access details to the AI Data 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 Data 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.

HBR's 10 Must Reads on AI, Analytics, and the New Machine Age (with bonus article "Why Every Company Needs an Augmented Reality Strategy" by Michael E. Porter and James E. Heppelmann)

Author : Harvard Business Review
Publisher : Harvard Business Press
Page : 187 pages
File Size : 28,17 MB
Release : 2018-12-24
Category : Business & Economics
ISBN : 1633696855

GET BOOK

Intelligent machines are revolutionizing business. Machine learning and data analytics are powering a wave of groundbreaking technologies. Is your company ready? If you read nothing else on how intelligent machines are revolutionizing business, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand how these technologies work together, how to adopt them, and why your strategy can't ignore them. In this book you'll learn how: Data science, driven by artificial intelligence and machine learning, is yielding unprecedented business insights Blockchain has the potential to restructure the economy Drones and driverless vehicles are becoming essential tools 3-D printing is making new business models possible Augmented reality is transforming retail and manufacturing Smart speakers are redefining the rules of marketing Humans and machines are working together to reach new levels of productivity This collection of articles includes "Artificial Intelligence for the Real World," by Thomas H. Davenport and Rajeev Ronanki; "Stitch Fix's CEO on Selling Personal Style to the Mass Market," by Katrina Lake; "Algorithms Need Managers, Too," by Michael Luca, Jon Kleinberg, and Sendhil Mullainathan; "Marketing in the Age of Alexa," by Niraj Dawar; "Why Every Organization Needs an Augmented Reality Strategy," by Michael E. Porter and James E. Heppelmann; "Drones Go to Work," by Chris Anderson; "The Truth About Blockchain," by Marco Iansiti and Karim R. Lakhani; "The 3-D Printing Playbook," by Richard A. D’Aveni; "Collaborative Intelligence: Humans and AI Are Joining Forces," by H. James Wilson and Paul R. Daugherty; "When Your Boss Wears Metal Pants," by Walter Frick; and "Managing Our Hub Economy," by Marco Iansiti and Karim R. Lakhani.

Data Analytics and AI

Author : Jay Liebowitz
Publisher : CRC Press
Page : 187 pages
File Size : 14,9 MB
Release : 2020-08-06
Category : Computers
ISBN : 1000094677

GET BOOK

Analytics and artificial intelligence (AI), what are they good for? The bandwagon keeps answering, absolutely everything! Analytics and artificial intelligence have captured the attention of everyone from top executives to the person in the street. While these disciplines have a relatively long history, within the last ten or so years they have exploded into corporate business and public consciousness. Organizations have rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that "artificial intelligence is included." We are indeed living in exciting times. The question we need to ask is, do we really know how to get business value from these exciting tools? Unfortunately, both the analytics and AI communities have not done a great job in collaborating and communicating with each other to build the necessary synergies. This book bridges the gap between these two critical fields. The book begins by explaining the commonalities and differences in the fields of data science, artificial intelligence, and autonomy by giving a historical perspective for each of these fields, followed by exploration of common technologies and current trends in each field. The book also readers introduces to applications of deep learning in industry with an overview of deep learning and its key architectures, as well as a survey and discussion of the main applications of deep learning. The book also presents case studies to illustrate applications of AI and analytics. These include a case study from the healthcare industry and an investigation of a digital transformation enabled by AI and analytics transforming a product-oriented company into one delivering solutions and services. The book concludes with a proposed AI-informed data analytics life cycle to be applied to unstructured data.

The AI Advantage

Author : Thomas H. Davenport
Publisher : MIT Press
Page : 243 pages
File Size : 38,6 MB
Release : 2019-08-06
Category : Business & Economics
ISBN : 0262538008

GET BOOK

Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM's Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review.