Analytics And Artificial Intelligence A Complete Guide - 2019 Edition

Analytics And Artificial Intelligence A Complete Guide - 2019 Edition
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 310
Release: 2019-07-31
Genre:
ISBN: 9780655838005
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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

A Practical Guide to Artificial Intelligence and Data Analytics
Author: Rayan Wali
Publisher: Rayan Wali
Total Pages: 605
Release: 2021-06-12
Genre: Computers
ISBN:
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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.

Analytics And Machine Learning A Complete Guide - 2019 Edition

Analytics And Machine Learning A Complete Guide - 2019 Edition
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 310
Release: 2019-07-31
Genre:
ISBN: 9780655835431
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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.

Artificial Intelligence

Artificial Intelligence
Author: Neil Wilkins
Publisher: Independently Published
Total Pages: 214
Release: 2019-04-06
Genre:
ISBN: 9781092879675
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If you want to learn key AI concepts to get you quickly up to speed with all things AI, then keep reading Two manuscripts in one book: Artificial Intelligence: What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future Internet of Things: What You Need to Know About IoT, Big Data, Predictive Analytics, Artificial Intelligence, Machine Learning, Cybersecurity, Business Intelligence, Augmented Reality and Our Future This book covers everything from machine learning to robotics and the internet of things. You can use it as a nifty guidebook whenever you come across news headlines that talk about some new advancement in AI by Google or Facebook. By the time you finish reading, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is. You will also learn a comprehensive history of AI, from the first invention of automations in antiquity to the driver-less cars of today. In part 1 of this book, you will: Understand how machines can "think" and how they learn Learn the five reasons why experts are warning us about AI research Find the answers to the top six myths of artificial intelligence Learn what neural networks are and how they work, the "brains" of machine learning Understand reinforcement learning and how it is used to teach machine learning systems through experience Become up-to-date with the current state-of-the-art artificial intelligence methods that use deep learning Learn the basics of recommender systems Expand your current view of machines and what is possible with modern robotics Enter the vast world of the internet of things technologies Find out why AI is the new business degree And much, much more! Some of the topics covered in part 2 of this book include: Origins of IoT IoT Security Ethical Hacking Internet of Things Under The Cushy Foot of Tech Giants The Power of Infinite Funds IoT Toys Bio-robotics Predictive Analytics Machine Learning Artificial Intelligence Cybersecurity Big Data Business Intelligence Augmented Reality Virtual Reality Our Future And much, much more If you want to learn more about the artificial intelligence and internet of things, then scroll up and click "add to cart"!

AI Analytics A Complete Guide - 2019 Edition

AI Analytics A Complete Guide - 2019 Edition
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 304
Release: 2019-07-10
Genre:
ISBN: 9780655820444
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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.

Artificial Intelligence and Machine Learning for Business

Artificial Intelligence and Machine Learning for Business
Author: Steven Finlay
Publisher: Relativistic
Total Pages: 194
Release: 2018-07
Genre:
ISBN: 9781999730345
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Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Organizations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies. This third edition has been substantially revised and updated. It contains several new chapters and covers a broader set of topics than before, but retains the no-nonsense style of the original.

Artificial Intelligence

Artificial Intelligence
Author: Neil Wilkins
Publisher:
Total Pages: 214
Release: 2019-12-09
Genre: Computers
ISBN: 9781647481148
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This book covers everything from machine learning to robotics and the internet of things. By the time you finish reading, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is.

Data Analytics and AI

Data Analytics and AI
Author: Jay Liebowitz
Publisher: CRC Press
Total Pages: 187
Release: 2020-08-06
Genre: Computers
ISBN: 1000094677
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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.

AI And Data Analytics A Complete Guide - 2019 Edition

AI And Data Analytics A Complete Guide - 2019 Edition
Author: Gerardus Blokdyk
Publisher: 5starcooks
Total Pages: 308
Release: 2019-07-17
Genre:
ISBN: 9780655825401
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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.

Deep Learning Illustrated

Deep Learning Illustrated
Author: Jon Krohn
Publisher: Addison-Wesley Professional
Total Pages: 725
Release: 2019-08-05
Genre: Computers
ISBN: 0135121728
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"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.