Автор: Rajshree Srivastava, Pradeep Kumar Mallick, Siddha Название: Computational Intelligence for Machine Learning and Healthcare Informatics ISBN: 3110647826 ISBN-13(EAN): 9783110647822 Издательство: Walter de Gruyter Цена: 136310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.
Автор: Haslam N et al Название: An Introduction to Personality, Individual Differences and Intelligence: Second Edition ISBN: 1446249638 ISBN-13(EAN): 9781446249635 Издательство: Sage Publications Рейтинг: Цена: 36950.00 T Наличие на складе: Нет в наличии. Описание: The second edition of this popular textbook builds on the strengths of the first, continuing its reputation for clarity, accessibility, conceptual sophistication and panoramic coverage of personality and intelligence. The authorship team is enriched by the addition of two high-profile international scholars, Luke Smillie and John Song, whose expertise broadens and deepens the text. New to this edition: Chapters exploring the neurobiological, genetic and evolutionary foundations of personality; and emotion, motivation and personality processes An enhanced coverage of personality disorders A thoroughly revised and extended section on intelligence which now addresses cognitive abilities and their biological bases; the role of intelligence in everyday life; and emotional intelligence A brand new companion website that includes a substantial test bank and lecture slides. An Introduction to Personality, Individual Differences and Intelligence, Second Edition is a key textbook for all psychology students on a personality or individual differences course.
Автор: Fa–Long Luo Название: Machine Learning for Future Wireless Communications ISBN: 1119562252 ISBN-13(EAN): 9781119562252 Издательство: Wiley Рейтинг: Цена: 124550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
A comprehensive review to the theory, application and research of machine learning for future wireless communications
In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities.
Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author - a noted expert on the topic - covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource:
Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks
Covers a range of topics from architecture and optimization to adaptive resource allocations
Reviews state-of-the-art machine learning based solutions for network coverage
Includes an overview of the applications of machine learning algorithms in future wireless networks
Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing
Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.
Автор: Pablo Duboue Название: The Art of Feature Engineering: Essentials for Machine Learning ISBN: 1108709389 ISBN-13(EAN): 9781108709385 Издательство: Cambridge Academ Рейтинг: Цена: 46470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is a guide for data scientists who want to use feature engineering to improve the performance of their machine learning solutions. The book provides a unified view of the field, beginning with basic concepts and techniques, followed by a cross-domain approach to advanced topics, like texts and images, with hands-on case studies.
Автор: Moseley, Benjamin Название: Machine Learning And Artificial Intelligence In Geosciences,61 ISBN: 0128216697 ISBN-13(EAN): 9780128216699 Издательство: Elsevier Science Рейтинг: Цена: 185270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Advances in Geophysics, Volume 61 - Machine Learning and Artificial Intelligence in Geosciences the latest release in this highly-respected publication in the field of geophysics, contains new chapters on a variety of topics, including Marchenko imaging, Machine learning and inversion, A review of reduced-order modelling approaches based on machine-learning and graphs for simulation of flow and transport through fractured media, and more.
Автор: Stamp Mark, Alazab Mamoun, Shalaginov Andrii Название: Malware Analysis Using Artificial Intelligence and Deep Learning ISBN: 3030625818 ISBN-13(EAN): 9783030625818 Издательство: Springer Рейтинг: Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis.
Do you feel that your self-confidence is not enough and you want to improve your self-esteem?
Boost Low Self-Esteem is the union of books:
Emotional Intelligence
Neuro-linguistic Programming (NLP)
Cognitive Behavioral Therapy (CBT)
The Neurological system regulates the body's many functions; Language pertains to how we communicate with others and ourselves; and Programming refers to the models and systems in our world: what output should we receive from a given input? NLP illustrates these three underlying forces, and the powerful connection between our mind (Neuro), language (Linguistic) and behavior (Programming).
This can be an initially perplexing idea, but bear with me "The map is not the zone" professes that no human will ever know reality, as they can only know what they perceive as reality. Humans respond to everything around them through their sensory systems. The feelings and emotions I experience from watching a particular movie will not be the same as those that you experience from watching the same movie. In the same way, two maps of a hiking trail could be quite different from each other, though they both describe the same physical trail. The map is not the trail itself.
Similarly, it is the neuro-linguistic maps of reality which determine how a person behaves and gives that behavior meaning, not reality itself. Generally, it is not reality that encourages or limits a person, but their own map of reality.
Cognitive-behavioral therapy can solve all the problems and be the perfect therapy for all whenever it has to do with mental disorders and other different issues. While it can solve all of these in the aspect of psychological issues, it should not be tampered with unless there is a proper mind-set that is ready to withstand the rigors attached to taking this therapy session.
Cognitive behavioral therapy is researched very frequently by both medical professionals as well as potential patients. A major reason for the extensive research on this particular topic is because CBT mainly focuses on specific goals. This makes it very easy to track and measure results.
Cognitive behavioral therapy differs from psychoanalytic kinds of therapy as the latter supports and encourages a self-exploration process that is open ended.
Meanwhile, CBT works better for people who feels comfortable about a focused and structured therapy approach whereby the therapist will often take the role of an instructor.
However, before a Cognitive behavioral therapy session can be successful, the patient must have an open mind and be committed to putting effort and time in analyzing his/her own feelings and thoughts. In truth, this could prove to be a difficult task as it requires homework and self-analysis. However, Cognitive behavioral therapy provides you with a great opportunity to discover how your outward behavior is impacted by your internal mental state.
Additionally, Cognitive behavioral therapy is a very advisable and effective option for those in need of a short-term psychotherapeutic treatment method for specific kinds of personal emotional distress which doesn't have to psychotropic medication unless absolutely necessary.
Cognitive behavioral therapy has a wide range of application and a major benefit of this psychotherapeutic treatment option is that with it, patients are able to develop and hone their coping skills, which they can put into great use now as well as anytime in the future.
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Don't wait anymore, press the buy now button and get started
Автор: Andreas Miroslaus Wichert, Luis Sa-couto Название: Machine Learning - A Journey To Deep Learning: With Exercises And Answers ISBN: 9811234051 ISBN-13(EAN): 9789811234057 Издательство: World Scientific Publishing Рейтинг: Цена: 158400.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives — the statistical perspective, the artificial neural network perspective and the deep learning methodology.The useful reference text represents a solid foundation in machine learning and should prepare readers to apply and understand machine learning algorithms as well as to invent new machine learning methods. It tells a story outgoing from a perceptron to deep learning highlighted with concrete examples, including exercises and answers for the students.Related Link(s)
Автор: Sushruta Mishra Название: Cognitive Big Data Intelligence with a Metaheuristic Approach ISBN: 0323851177 ISBN-13(EAN): 9780323851176 Издательство: Elsevier Science Рейтинг: Цена: 121270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Cognitive Big Data Intelligence with a Metaheuristic Approach presents an exact and compact organization of content relating to the latest metaheuristics methodologies based on new challenging big data application domains and cognitive computing. The combined model of cognitive big data intelligence with metaheuristics methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues in real-time. Various real-time case studies and implemented works are discussed in this book for better understanding and additional clarity.
This book presents an essential platform for the use of cognitive technology in the field of Data Science. It covers metaheuristic methodologies that can be successful in a wide variety of problem settings in big data frameworks.
Six classic science fiction stories and commentary that illustrate and explain key algorithms or principles of artificial intelligence.
This book presents six classic science fiction stories and commentary that illustrate and explain key algorithms or principles of artificial intelligence. Even though all the stories were originally published before 1973, they help readers grapple with two questions that stir debate even today: how are intelligent robots programmed? and what are the limits of autonomous robots? The stories--by Isaac Asimov, Vernor Vinge, Brian Aldiss, and Philip K. Dick--cover telepresence, behavior-based robotics, deliberation, testing, human-robot interaction, the "uncanny valley," natural language understanding, machine learning, and ethics. Each story is preceded by an introductory note, "As You Read the Story," and followed by a discussion of its implications, "After You Have Read the Story." Together with the commentary, the stories offer a nontechnical introduction to robotics. The stories can also be considered as a set of--admittedly fanciful--case studies to be read in conjunction with more serious study.
Contents "Stranger in Paradise" by Isaac Asimov, 1973 "Runaround" by Isaac Asimov, 1942 "Long Shot" by Vernor Vinge, 1972 "Catch That Rabbit" by Isaac Asimov, 1944 "Super-Toys Last All Summer Long" by Brian Aldiss, 1969 "Second Variety" by Philip K. Dick, 1953
Автор: Lawless, William Название: Artificial Intelligence for the Internet of Everything ISBN: 0128176369 ISBN-13(EAN): 9780128176368 Издательство: Elsevier Science Рейтинг: Цена: 110030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Artificial Intelligence for the Internet of Everything considers the foundations, metrics and applications of IoE systems. It covers whether devices and IoE systems should speak only to each other, to humans or to both. Further, the book explores how IoE systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems. It examines the meaning, value and effect that IoT has had and may have on ordinary life, in business, on the battlefield, and with the rise of intelligent and autonomous systems. Based on an artificial intelligence (AI) perspective, this book addresses how IoE affects sensing, perception, cognition and behavior.
Each chapter addresses practical, measurement, theoretical and research questions about how these "things" may affect individuals, teams, society or each other. Of particular focus is what may happen when these "things" begin to reason, communicate and act autonomously on their own, whether independently or interdependently with other "things."
Considers the foundations, metrics and applications of IoE systems
Debates whether IoE systems should speak to humans and each other
Explores how IoE systems affect targeted audiences and society
Discusses theoretical IoT ecosystem models
Автор: Smith Brian Cantwell Название: The Promise of Artificial Intelligence: Reckoning and Judgment ISBN: 0262043041 ISBN-13(EAN): 9780262043045 Издательство: MIT Press Рейтинг: Цена: 28160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: An argument that--despite dramatic advances in the field--artificial intelligence is nowhere near developing systems that are genuinely intelligent.
In this provocative book, Brian Cantwell Smith argues that artificial intelligence is nowhere near developing systems that are genuinely intelligent. Second wave AI, machine learning, even visions of third-wave AI: none will lead to human-level intelligence and judgment, which have been honed over millennia. Recent advances in AI may be of epochal significance, but human intelligence is of a different order than even the most powerful calculative ability enabled by new computational capacities. Smith calls this AI ability "reckoning," and argues that it does not lead to full human judgment--dispassionate, deliberative thought grounded in ethical commitment and responsible action.
Taking judgment as the ultimate goal of intelligence, Smith examines the history of AI from its first-wave origins ("good old-fashioned AI," or GOFAI) to such celebrated second-wave approaches as machine learning, paying particular attention to recent advances that have led to excitement, anxiety, and debate. He considers each AI technology's underlying assumptions, the conceptions of intelligence targeted at each stage, and the successes achieved so far. Smith unpacks the notion of intelligence itself--what sort humans have, and what sort AI aims at.
Smith worries that, impressed by AI's reckoning prowess, we will shift our expectations of human intelligence. What we should do, he argues, is learn to use AI for the reckoning tasks at which it excels while we strengthen our commitment to judgment, ethics, and the world.
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