The Ultimate Data And Ai Guide
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The Ultimate Data And Ai Guide
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Author : Alexander Thamm
language : en
Publisher:
Release Date : 2020
The Ultimate Data And Ai Guide written by Alexander Thamm and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Encyclopedia Of Data Science And Machine Learning
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Author : Wang, John
language : en
Publisher: IGI Global
Release Date : 2023-01-20
Encyclopedia Of Data Science And Machine Learning written by Wang, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-20 with Computers categories.
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.
Executing Data Quality Projects
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Author : Danette McGilvray
language : en
Publisher: Academic Press
Release Date : 2021-05-27
Executing Data Quality Projects written by Danette McGilvray and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-27 with Computers categories.
Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work – with the end result of high-quality trusted data and information, so critical to today's data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations – for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling data due to organizational breakups, and 3) ad hoc use of data quality steps, techniques, or activities in the course of daily work. The Ten Steps approach can also be used to enrich an organization's standard SDLC (whether sequential or Agile) and it complements general improvement methodologies such as six sigma or lean. No two data quality projects are the same but the flexible nature of the Ten Steps means the methodology can be applied to all. The new Second Edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others, to show their dependence on data and information and why data quality is more relevant and critical now than ever before. - Includes concrete instructions, numerous templates, and practical advice for executing every step of The Ten Steps approach - Contains real examples from around the world, gleaned from the author's consulting practice and from those who implemented based on her training courses and the earlier edition of the book - Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices - A companion Web site includes links to numerous data quality resources, including many of the templates featured in the text, quick summaries of key ideas from the Ten Steps methodology, and other tools and information that are available online
Ai For Beginners 101
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Author : M. Morrison
language : en
Publisher: Twilight Studios LLC
Release Date : 2025-10-02
Ai For Beginners 101 written by M. Morrison and has been published by Twilight Studios LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-02 with Computers categories.
AI for Beginners 101: Finally, an AI Guide That Actually Makes Sense Master AI in Minutes, Not Months – Even If You Can Barely Program Your Coffee Maker Stop feeling left behind while everyone else seems to "get" AI You keep hearing about artificial intelligence everywhere – your friends are using it, your coworkers are talking about it, and your kids probably know more about it than you do. Meanwhile, you're stuck wondering: Where do I even start? Here's the truth: You don't need a computer science degree to unlock AI's incredible potential. You just need someone to explain it like you're a real person, not a robot. Why This Book Exists (And Why You Need It) Most AI books are written by tech bros for tech bros. They're packed with confusing jargon, assume you know things you don't, and make you feel dumber with every page. AI for Beginners 101 is different. It's written for the rest of us – the people who want to understand AI without enrolling in MIT. What You'll Actually Learn (In Plain English) ✓ The "Smartphone Test" – If you can text your kids, you can master AI tools ✓ 30-Second AI Wins – Quick applications that save you hours immediately ✓ The Anti-Jargon Approach – Complex concepts explained like you're talking to a friend ✓ Real People, Real Results – How teachers, entrepreneurs, and retirees are using AI to level up their lives ✓ Future-Proof Your Skills – Stay relevant without becoming a tech expert Here's What Makes This Different: 🎯 No Coding Required – Seriously. If you can use Instagram, you can use AI ⚡ Results in Minutes – Start seeing benefits before you finish your first coffee 🗣️ Written Like a Human – No technical mumbo-jumbo, just clear, friendly guidance 📱 Tool Recommendations – Specific apps and platforms you can use today 🚀 Confidence Building – Go from AI-anxious to AI-awesome step by step The Bottom Line: While everyone else is either intimidated by AI or drowning in technical manuals, you'll be the person who actually gets it – and uses it effectively. AI isn't going away. Your choice isn't whether to learn it – it's whether to learn it the hard way or the smart way. Ready to join the AI-confident crowd? Scroll up and grab your copy now. Your future self will thank you. P.S. This book has already helped thousands of "non-techie" people feel confident with AI. You're next.
Life Science Management
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Author : Avo Schönbohm
language : en
Publisher: Springer Nature
Release Date : 2022-07-14
Life Science Management written by Avo Schönbohm and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-14 with Medical categories.
The COVID-19 pandemic has reminded us of how important the life science industry is, and compels us to find efficient management methods specific to the industry. Pharmaceuticals, drug and vaccine development labs, R&D labs, medical instrumentation, and tech companies, hygiene supply companies, medical distribution chains, all form an integral part of this industry. At the interface of scientific research, technology, innovation and management and embedded in regulatory and legal frameworks, life science management is still an under-researched field of practice and science. This edited volume addresses this research gap and offers a wide range of practical and theoretical contributions that provide insights into one of the most exciting industries. The book is primarily directed at practitioners and decision makers in the life science industry. Students and professionals of life science management at all levels as well as policy makers will find valuable insights and inspiration for their daily work and career development.
Digitalization In Healthcare
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Author : Patrick Glauner
language : en
Publisher: Springer Nature
Release Date : 2021-03-13
Digitalization In Healthcare written by Patrick Glauner and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-13 with Business & Economics categories.
Digital technologies are currently dramatically changing healthcare. This book introduces the reader to the latest digital innovations in healthcare in fields such as artificial intelligence, points out new ways in patient care and describes the limits of its application. It also offers essential guidance in the form of structured and authoritative contributions by domain experts spanning from artificial intelligence to hospital management to radiology to dentistry to preventive medicine. Furthermore, it shares ideas and experiences of industry veterans, in particular on how IT-driven solutions could solve long-standing issues in the fields of healthcare and hospitalization. It also gives advice on what new digital technologies to consider for becoming a healthcare market leader in the future. Taken together, these contributions provide a “road map” to guide decision makers, physicians, academics, industry representatives and other interested readers to understand the large impact of digital technology on healthcare today and its enormous potential for future development.
The Ultimate Modern Guide To Artificial Intelligence
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Author : Enamul Haque
language : en
Publisher: Enamul Haque
Release Date : 2020-07-21
The Ultimate Modern Guide To Artificial Intelligence written by Enamul Haque and has been published by Enamul Haque this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-21 with Computers categories.
The era of artificial intelligence has arrived. You, who only felt far from artificial intelligence, and the growing dream trees, are now inseparable from artificial intelligence. What does AI have to do with me? Isn't it a distant future that has nothing to do with me, not a scientist, a technician, or a computer programmer? Well, Artificial intelligence is not a story of someone who has nothing to do with it, but the fact is, it is now everyone's story. AI is already deeply infiltrating everyone's life. The question is no longer whether we use technology or not; it's about working together in a better way. Surrounding technologies like Siri, Alexa, or Cortana are seamlessly integrated into our interactions. We walk into the room, turn on the lights, play songs, change the room temperature, keep track of shopping lists, book a ride at the airport, or remind ourselves to take the proper medication on time. It is now necessary to look at artificial intelligence from a broader and larger perspective. You should not just hang on to complex deep learning algorithms and think only through science and technology but through the eyes of emotions and humanities. These days, elementary school students learn English and coding at school. Tomorrow's elementary school students will learn AI. Of course, not everyone needs to be an AI expert. But if you don't understand AI, you will be left out of the trend of changing times. AI comes before English and coding. This is because artificial intelligence is the language and tool of the future. This book opens your door to the most critical understanding needed of AI and other relevant disruptive technologies. Artificial intelligence will significantly change societal structures and the operations of companies. The next generation of employees needs to be trained as a workforce before entering the job market, and the existing workforce is regularly recharged and skilled. There is plenty on this for reskilling too. This is the most definitive compendium of AI, The Internet of Things, Machine Learning, Deep Learning, Data Science, Big Data, Cloud Computing, Neural networks, Robotics, the future of work and the future of intelligent industries.
How Ai Thinks
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Author : Nigel Toon
language : en
Publisher: Random House
Release Date : 2024-02-08
How Ai Thinks written by Nigel Toon and has been published by Random House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-08 with Computers categories.
THE #2 TIMES BESTSELLER 'Artificial intelligence is going to have a massive impact on everyone’s lives... an accessible and sensible read that helps demystify AI' Deborah Meaden, entrepreneur and star of Dragon's Den 'Nigel Toon is a visionary leader in the field of artificial intelligence... a must-read' Marc Tremblay, Distinguished Engineer, Microsoft Those who understand how AI thinks are about to win big. We are used to thinking of computers as being a step up from calculators - very good at storing information, and maybe even at playing a logical game like chess. But up to now they haven't been able to think in ways that are intuitive, or respond to questions as a human might. All that has changed, dramatically, in the past few years. Our search engines are becoming answer engines. Artificial intelligence is already revolutionising sectors from education to healthcare to the creative arts. But how does an AI understand sentiment or context? How does it play and win games that have an almost infinite number of moves? And how can we work with AI to produce insights and innovations that are beyond human capacity, from writing code in an instant to unfolding the elaborate 3D puzzles of proteins? We stand at the brink of a historic change that will disrupt society and at the same time create enormous opportunities for those who understand how AI thinks. Nigel Toon shows how we train AI to train itself, so that it can paint images that have never existed before or converse in any language. In doing so he reveals the strange and fascinating ways that humans think, too, as we learn how to live in a world shared by machine intelligences of our own creation.
Care Dare Share Lead And Thrive With Heart Mind Ai
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Author : Allegra Patrizi
language : en
Publisher: Allegra Patrizi SRL
Release Date : 2025-09-07
Care Dare Share Lead And Thrive With Heart Mind Ai written by Allegra Patrizi and has been published by Allegra Patrizi SRL this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-07 with Business & Economics categories.
70-80% of Business Transformations Fail. Here’s Why Yours Won’t. In the age of AI, leaders are drowning in data. Your dashboards are glowing, your algorithms are predicting, yet your most ambitious projects are statistically destined to fail. Why? You've been sold the "Rationality Mirage": the fatal belief that data alone can drive change. While you optimize for efficiency, your competitors are making the same mistake, ignoring the one variable that determines success or failure: the human heart. This book is the definitive antidote. Written by Allegra Patrizi, a C-suite executive who has led profound turnarounds at global companies, Care, Dare, Share is a battle-tested operating system for leading with heart, mind, and AI. It replaces the failed methods of the past with a powerful leadership flywheel built on one undeniable truth: Data informs. Humanity transforms. Inside, you will discover the practical frameworks to: · CARE: Go beyond listening to build the unshakable trust and psychological safety required for any real change. · DARE: Turn deep, human-centric insights into bold, courageous, and winning AI-powered strategies. · SHARE: Create unstoppable momentum by scaling collective intelligence and making transformation a shared mission, not a top-down mandate. Packed with actionable tools and real-world case studies from companies like Aegon, Novartis, Schneider Electric, Microsoft and Shopify, this is the operating manual for the modern leader. Stop managing change. Start leading a movement. The future belongs to those who deploy humanity at scale.
Machine Learning
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Author : Mark Graph
language : en
Publisher: Independently Published
Release Date : 2019-11-13
Machine Learning written by Mark Graph and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-13 with categories.
With the help of in-depth explanations, concepts and ideas regarding machine learning and artificial intelligence, beginners can develop basic AI models that are capable of making accurate predictions and data insights with the best performance. Thus, this book is most suitable for beginners who have an interest in methodologies of artificial intelligence and deep learning. Big data analytics and data sciences have brought a major breakthrough in the current world by introducing models that bring long-term benefits to businesses and industries. By understanding the algorithms and approaches explained in this book, beginners can develop state of the art machine learning models for solving real work problems. By reviewing possible challenges, performances and implementations of artificial intelligence, neural networks, big data analytics and deep learning, applications of AI can be developed to improve workflow and system efficiency as well. Moreover, industries and businesses can greatly promote their sales, profits and performance by considering the techniques and methods set out in this book. However, this book is not only for beginners. Researchers and experts can learn about the latest the findings on artificial intelligence and machine learning for developing powerful algorithms and models. Artificial intelligence and machine learning approaches will definitely help in bringing positive changes to our daily lives. For learning and adopting the major findings, rules and techniques of artificial intelligence and deep learning, reading "Machine Learning For Beginners: The Ultimate Guide to Understand Artificial Intelligence and Big Data Analytics. Learn the Building Block Algorithms and the Machine Learning's Application in the Modern Life" will surely prove to be of great benefit for students and researchers.