If you are curious about the basics of artificial intelligence, blockchain technology, and quantum computing as key enablers for digital transformation and innovation, Digital Fluency is your handy guide. The real-world applications of these cutting-edge technologies are expanding rapidly, and your daily life will continue to be affected by each of them. There is no better time than now to get started and become digitally fluent.
You need not have previous knowledge of these versatile technologies, as author Volker Lang will expertly guide you through this digital age. He illustrates key concepts and applications in numerous practical examples and more than 48 catchy figures throughout Digital Fluency. The end of each chapter presents you with a helpful implementation checklist of central lessons before proceeding to the next. This book gets to the heart of digital buzzwords and concepts, and tells you what they truly mean.
Breaking down topics such as automated driving and intelligent robotics powered by artificial intelligence, blockchain-based cryptocurrencies and smart contracts, drug development and optimization of financial investment portfolios by quantum computing, and more is imperative to being ready for what the future of industry holds. Whether your own digital transformation journey takes place within your private or public organization, your studies, or your individual household, Digital Fluency maps out a concrete digital action plan for all of your technology and innovation strategy needs.
What You Will Learn
Gain guidance in the digital age without requiring any previous knowledge about digital technologies and digital transformation
Get acquainted with the most popular current and prospective applications of artificial intelligence, blockchain technology, and quantum computing across a wide range of industries including healthcare, financial services, and the automobile industry
Become familiar with the digital innovation models of Amazon, Google, Microsoft, IBM, and other world-leading organizations
Implement your own digital transformation successfully along the eight core dimensions of a concrete digital action plan
Who This Book Is For
Thought-leaders, business executives and industry strategists, management and strategy consultants, politicians and policy makers, entrepreneurs, financial analysts, investors and venture capitalists, students and research scientists, as well as general readers, who want to become digitally fluent.
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Автор: Sabouret, Nicolas (university Pierre & Marie Curie, Paris, France) Название: Understanding artificial intelligence ISBN: 036752435X ISBN-13(EAN): 9780367524357 Издательство: Taylor&Francis Рейтинг: Цена: 5051.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Understanding Artificial Intelligence explains, through a straight forward narrative and amusing illustrations, how AI works. It is written for a non-specialist reader, adult or adolescent, who is interested in AI, but who is new to the field.
Автор: Nie Liqiang, Liu Meng, Song Xuemeng Название: Multimodal Learning toward Micro-Video Understanding ISBN: 1681736306 ISBN-13(EAN): 9781681736303 Издательство: Mare Nostrum (Eurospan) Цена: 15523.00 р. Наличие на складе: Нет в наличии.
Описание:
Micro-videos, a new form of user-generated content, have been spreading widely across various social platforms, such as Vine, Kuaishou, and TikTok.
Different from traditional long videos, micro-videos are usually recorded by smart mobile devices at any place within a few seconds. Due to their brevity and low bandwidth cost, micro-videos are gaining increasing user enthusiasm. The blossoming of micro-videos opens the door to the possibility of many promising applications, ranging from network content caching to online advertising. Thus, it is highly desirable to develop an effective scheme for high-order micro-video understanding.
Micro-video understanding is, however, non-trivial due to the following challenges: (1) how to represent micro-videos that only convey one or few high-level themes or concepts; (2) how to utilize the hierarchical structure of venue categories to guide micro-video analysis; (3) how to alleviate the influence of low quality caused by complex surrounding environments and camera shake; (4) how to model multimodal sequential data, i.e. textual, acoustic, visual, and social modalities to enhance micro-video understanding; and (5) how to construct large-scale benchmark datasets for analysis. These challenges have been largely unexplored to date.
In this book, we focus on addressing the challenges presented above by proposing some state-of-the-art multimodal learning theories. To demonstrate the effectiveness of these models, we apply them to three practical tasks of micro-video understanding: popularity prediction, venue category estimation, and micro-video routing. Particularly, we first build three large-scale real-world micro-video datasets for these practical tasks. We then present a multimodal transductive learning framework for micro-video popularity prediction. Furthermore, we introduce several multimodal cooperative learning approaches and a multimodal transfer learning scheme for micro-video venue category estimation. Meanwhile, we develop a multimodal sequential learning approach for micro-video recommendation. Finally, we conclude the book and figure out the future research directions in multimodal learning toward micro-video understanding.
Описание: Presents research on the application of AI within society and comprehends the future effects of this technology within modern civilization. Highlighting topics such as cognitive computing, ethical issues, and robotics, this book explores the possible consequences of AI adoption as well as its disruption within industries and emerging markets.
Автор: Goldberg Yoav Название: Neural Network Methods in Natural Language Processing ISBN: 1627052984 ISBN-13(EAN): 9781627052986 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 11504.00 р. Наличие на складе: Нет в наличии.
Описание: Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries.The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.
Описание: With this practical book, author Lomit Patel shows you how to use AI and automation to provide an operational layer atop those acquisition solutions to deliver amazing results for your company.
A small book that introduces key Artificial Intelligence (AI) concepts in an easy-to-read format with examples and illustrations. A complex, long, overly mathematical textbook does not always serve the purpose of conveying the basic AI concepts to most people. Someone with basic knowledge in Computer Science can have a quick overview of AI (heuristic searches, genetic algorithms, expert systems, game trees, fuzzy expert systems, natural language processing, super intelligence, etc.) with everyday examples. If you are taking a basic AI course and find the traditional AI textbooks intimidating, you may choose this as a "bridge" book, or as an introductory textbook. (This is old edition -- a new revised edition is currently available.)
Автор: Ralf T. Kreutzer; Marie Sirrenberg Название: Understanding Artificial Intelligence ISBN: 3030252701 ISBN-13(EAN): 9783030252700 Издательство: Springer Рейтинг: Цена: 7965.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Artificial Intelligence (AI) will change the lives of people and businesses more fundamentally than many people can even imagine today. This book illustrates the importance of AI in an era of digitalization. It introduces the foundations of AI and explains its benefits and challenges for companies and entire industries. In this regard, AI is approached not just as yet another technology, but as a fundamental innovation, which will spread into all areas of the economy and life, and will disrupt business processes and business models in the years to come.
In turn, the book assesses the potential that AI holds, and clarifies the framework that is necessary for pursuing a responsible approach to AI. In a series of best-practice cases, the book subsequently highlights a broad range of sectors and industries, from production to services; from customer service to marketing and sales; and in industries like retail, health care, energy, transportation and many more. In closing, a dedicated chapter outlines a roadmap for a specific corporate AI journey.
No one can ignore intensive work with AI today - neither as a private person, let alone as a top performer in companies. This book offers a thorough, carefully crafted, and easy to understand entry into the field of AI. The central terms used in the AI ??context are given a very good explanation. In addition, a number of cases show what AI can do today and where the journey is heading. An important book that you should not miss!Professor Dr. Harley KrohmerUniversity of Bern
'Inspiring, thought provoking and comprehensive, this book is wittingly designed to be a catalyst for your individual and corporate AI journey.”
Avo Sch?nbohm, Professor at the Berlin School of Economics and Law, Enterprise Game Designer at LUDEO and Business Punk
Описание: Do you want to become a coding & programming expert in no time? This guide will teach you how Are you interested in coding, programming, and artificial intelligence?Would you like to learn Python, but you have no idea how to start?
This guide is the answer to all your problems
Python is one of the top 10 popular programming languages, and it can be used to developing desktop GUI applications, websites, and web applications.
There are many reasons why learning Python is essential. The syntax rules of Python allow you to express concepts without writing additional code. At the same time, Python, unlike other programming languages, emphasizes code readability and will enable you to use English keywords instead of punctuations.
Then, Python has an extensive and robust standard library, which makes it score over other programming languages. Besides, it is an open-source programming language, meaning that it will help you curtail software development cost significantly.
Last but not least, Python is designed with features to facilitate data analysis and visualization. You can use it to create custom big data solutions without putting in extra time and effort.
Are you excited about learning more about Python and coding?
Here is what you can learn from this book:
-The importance of data analysis and machine learning
-How is Python different from other languages
-Learn from more than 25 Python programming examples
-All the benefits of learning Python
-How can Python help you out with learning other languages
Learning Python is easy, even if you've never learned about coding before. It offers excellent readability and simple-to-learn syntax, which helps beginners learn this programming language in no time
The software is user-friendly and designed to increase speed and productivity during programming. With Python, you can create any app you want to
Ready to start coding?
This book will teach you how to do it and guide you through the coding process
Описание: Do you want to become a coding & programming expert in no time? This guide will teach you how Are you interested in coding, programming, and artificial intelligence?Would you like to learn Python, but you have no idea how to start?
This guide is the answer to all your problems
Python is one of the top 10 popular programming languages, and it can be used to developing desktop GUI applications, websites, and web applications.
There are many reasons why learning Python is essential. The syntax rules of Python allow you to express concepts without writing additional code. At the same time, Python, unlike other programming languages, emphasizes code readability and will enable you to use English keywords instead of punctuations.
Then, Python has an extensive and robust standard library, which makes it score over other programming languages. Besides, it is an open-source programming language, meaning that it will help you curtail software development cost significantly.
Last but not least, Python is designed with features to facilitate data analysis and visualization. You can use it to create custom big data solutions without putting in extra time and effort.
Are you excited about learning more about Python and coding?
Here is what you can learn from this book:
-The importance of data analysis and machine learning
-How is Python different from other languages
-Learn from more than 25 Python programming examples
-All the benefits of learning Python
-How can Python help you out with learning other languages
Learning Python is easy, even if you've never learned about coding before. It offers excellent readability and simple-to-learn syntax, which helps beginners learn this programming language in no time
The software is user-friendly and designed to increase speed and productivity during programming. With Python, you can create any app you want to
Ready to start coding?
This book will teach you how to do it and guide you through the coding process
Описание: Do you want to learn how ML and AI can be applied in practice and be compatible with human behavior in modern times? If yes, then keep reading...
Machine learning (ML) is a data-driven approach. Hence it implies the availability of large datasets in order to make accurate decisions. In case only a limited dataset is available to solve a particular problem, it is best to use a deterministic approach. When a limited dataset is available it is hard to train a machine learning model and generalize its applicability to other similar problems. The developed model, in this case, is only applicable for the few data it was trained on.
Because ML methods rely solely only on data and the human expertise or judgment is not taken in consideration, it is the data that dictate if the machine learning method will fail or succeed to perform the task it was designed for. The way a machine learning approach works is that a modeler develops a learning algorithm. Then the modeler feeds the learning algorithm with the data and information.
The algorithm learns by itself from the data with no guidance or human interference. It is the algorithm that builds the system. If the data provided for the algorithm is of poor quality and biased then the system is also of poor quality and biased. Hence, cleaning and acquiring the right data to solve a problem with ML problem is very crucial. If the data are biased and noisy it is better to stick with a traditional method. Otherwise, the machine learning method will memorize the noise and provide inaccurate results.
Could Turning Important Decisions over to AI help Humanity? Some might say that's a terrible idea, but how much worse is it today where we've turned over our societies and civilizations to corrupt leadership, crony capitalism, or had to deal with rogue nation-states in other parts of the world with two-bit dictators, religious fanaticism, or the quest to destroy another group of peoples' civilization? Perhaps it's time we came up with a special think tank that could go through all the issues concerning our fears, and what we hope to expect from AI decision-making machines. That is to say how to get the best possible answer, all the time with the greatest probability.
We all watched IBM's "Watson" supercomputer as it won against the top human Jeopardy players. It did pretty well, most all the time; didn't it? Yes, but it wasn't perfect, and perhaps that's the scary part. In fact, some of the mistakes that it did make were mistakes that even a child wouldn't have missed. Still, if there is a group of humans or a think tank, focus group, or Board of Directors constantly surveying the answers and asking additional questions, then perhaps you don't have to worry about an erroneous answer now and again. In fact, it might make you smile and feel good to be a human at that point.
ML is useful anywhere you need to recognize patterns and predict behavior based on historical data. Recognizing patterns could mean anything from character recognition to predictive maintenance to recommending products to customers based on past purchases.
This book gives a comprehensive guide on the following:
Correlation Between ML and Artificial Learning
The Era of Evolution
ML and AI in Practice
Self-Driving Cars
Robots and How they will Change Our Lives
ML, AI and IoT
Ethics of AI
AI and Privacy
Is Artificial Intelligence Dangerous?
Will Humans and Artificial Intelligence Live Together in the Future?
... AND MORE
Wake up and order your copy. Click buy now
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