Kumar akshi (62 Ergebnisse)

Zustand: New.

Paperback. Zustand: Brand New. 80 pages. 8.66x5.91x0.19 inches. In Stock.

Taschenbuch. Zustand: Neu. Handwritten Digit Recognition Using Deep Learning | Akshi Kumar | Taschenbuch | 80 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202024846 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

hardcover. Zustand: Very Good.

hardcover. Zustand: Good.

hardcover. Zustand: Fine.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: new.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: New.

hardcover. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: New. In English.

Zustand: NEW.

Hardback. Zustand: New. Thorough review of foundational concepts and advanced techniques in natural language processing (NLP) and its impact across sectors Supported by examples and case studies throughout, Language Intelligence provides an in-depth exploration of the latest advancements in natural language processing (NLP), offering a unique blend of insight on theoretical foundations, practical applications, and future directions in the field. Comprised of 10 chapters, this book provides a thorough understanding of both foundational concepts and advanced techniques, starting with an overview of the historical development of NLP and essential mechanisms of Natural Language Understanding (NLU) and Natural Language Generation (NLG). It delves into the data landscape crucial for NLP, emphasizing ethical considerations, and equips readers with fundamental text processing techniques. The book also discusses linguistic features central to NLP and explores computational and cognitive approaches that enrich the field's advancement. Practical applications and advanced processing techniques across various sectors like healthcare, legal, finance, and education are showcased, along with a critical examination of NLP metrics and methods for evaluation. The appendices offer detailed explorations of text representation methods, advanced applications, and Python's NLP capabilities, aiming to inform, inspire, and ignite a passion for NLP in the ever-expanding digital universe. Written by a highly qualified academic with significant research experience in the field, Language Intelligence covers topics including: Fundamental text processing, covering text cleaning, sentence splitting, tokenization, lemmatization and stemming, stop-word removal, part-of-speech tagging, and parsing and syntactic analysisComputational and cognitive approaches, covering human-like reasoning, transfer learning, and learning with minimal examplesAffective, psychological, and content analysis, covering sentiment analysis, emotion recognition, irony, humour, and sarcasm detection, and indicators of distressMultilingual natural language processing, covering translation and transliteration, cross-lingual models and embeddings, low-resource language processing, and cultural nuance and idiom recognition Language Intelligence is an ideal reference for professionals across sectors and graduate students in related programs of study who have a foundational understanding of computer science, linguistics, and artificial intelligence looking to delve deeper into the intricacies of NLP.…

Zustand: New. 2024. 1st Edition. hardcover. . . . . .

Hardcover. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Zustand: New.

Buch. Zustand: Neu. Neuware - Thorough review of foundational concepts and advanced techniques in natural language processing (NLP) and its impact across sectors Supported by examples and case studies throughout, Language Intelligence provides an in-depth exploration of the latest advancements in natural language processing (NLP), offering a unique blend of insight on theoretical foundations, practical applications, and future directions in the field. Comprised of 10 chapters, this book provides a thorough understanding of both foundational concepts and advanced techniques, starting with an overview of the historical development of NLP and essential mechanisms of Natural Language Understanding (NLU) and Natural Language Generation (NLG). It delves into the data landscape crucial for NLP, emphasizing ethical considerations, and equips readers with fundamental text processing techniques. The book also discusses linguistic features central to NLP and explores computational and cognitive approaches that enrich the field's advancement. Practical applications and advanced processing techniques across various sectors like healthcare, legal, finance, and education are showcased, along with a critical examination of NLP metrics and methods for evaluation. The appendices offer detailed explorations of text representation methods, advanced applications, and Python's NLP capabilities, aiming to inform, inspire, and ignite a passion for NLP in the ever-expanding digital universe. Written by a highly qualified academic with significant research experience in the field, Language Intelligence covers topics including: - Fundamental text processing, covering text cleaning, sentence splitting, tokenization, lemmatization and stemming, stop-word removal, part-of-speech tagging, and parsing and syntactic analysis- Computational and cognitive approaches, covering human-like reasoning, transfer learning, and learning with minimal examples- Affective, psychological, and content analysis, covering sentiment analysis, emotion recognition, irony, humour, and sarcasm detection, and indicators of distress- Multilingual natural language processing, covering translation and transliteration, cross-lingual models and embeddings, low-resource language processing, and cultural nuance and idiom recognition Language Intelligence is an ideal reference for professionals across sectors and graduate students in related programs of study who have a foundational understanding of computer science, linguistics, and artificial intelligence looking to delve deeper into the intricacies of NLP.…

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New. 2024. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Zustand: New.

Zustand: New.

Taschenbuch. Zustand: Neu. A Roadmap to Industry 4.0: Smart Production, Sharp Business and Sustainable Development | Anand Nayyar (u. a.) | Taschenbuch | Advances in Science, Technology & Innovation | xiv | Englisch | 2020 | Springer | EAN 9783030145460 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Business innovation and industrial intelligence are paving the way for a future in which smart factories, intelligent machines, networked processes and Big Data are combined to foster industrial growth. The maturity and growth of instrumentation, monitoring and automation as key technology drivers support Industry 4.0 as a viable, competent and actionable business model.This book offers a primer, helping readers understand this paradigm shift from industry 1.0 to industry 4.0. The focus is on grasping the necessary pre-conditions, development & technological aspects that conceptually describe this transformation, along with the practices, models and real-time experience needed to achieve sustainable smart manufacturing technologies. The primary goal is to address significant questions of what, how and why in this context, such as:What is Industry 4.0 What is the current status of its implementation What are the pillars of Industry 4.0 How can Industry 4.0 be effectively implemented How are firms exploiting the Internet of Things (IoT), Big Data and other emerging technologies to improve their production and services How can the implementation of Industry 4.0 be accelerated How is Industry 4.0 changing the workplace landscape Why is this melding of the virtual and physical world needed for smart production engineering environments Why is smart production a game-changing new form of product design and manufacturing.…

Hardback. Zustand: New. Thorough review of foundational concepts and advanced techniques in natural language processing (NLP) and its impact across sectors Supported by examples and case studies throughout, Language Intelligence provides an in-depth exploration of the latest advancements in natural language processing (NLP), offering a unique blend of insight on theoretical foundations, practical applications, and future directions in the field. Comprised of 10 chapters, this book provides a thorough understanding of both foundational concepts and advanced techniques, starting with an overview of the historical development of NLP and essential mechanisms of Natural Language Understanding (NLU) and Natural Language Generation (NLG). It delves into the data landscape crucial for NLP, emphasizing ethical considerations, and equips readers with fundamental text processing techniques. The book also discusses linguistic features central to NLP and explores computational and cognitive approaches that enrich the field's advancement. Practical applications and advanced processing techniques across various sectors like healthcare, legal, finance, and education are showcased, along with a critical examination of NLP metrics and methods for evaluation. The appendices offer detailed explorations of text representation methods, advanced applications, and Python's NLP capabilities, aiming to inform, inspire, and ignite a passion for NLP in the ever-expanding digital universe. Written by a highly qualified academic with significant research experience in the field, Language Intelligence covers topics including: Fundamental text processing, covering text cleaning, sentence splitting, tokenization, lemmatization and stemming, stop-word removal, part-of-speech tagging, and parsing and syntactic analysisComputational and cognitive approaches, covering human-like reasoning, transfer learning, and learning with minimal examplesAffective, psychological, and content analysis, covering sentiment analysis, emotion recognition, irony, humour, and sarcasm detection, and indicators of distressMultilingual natural language processing, covering translation and transliteration, cross-lingual models and embeddings, low-resource language processing, and cultural nuance and idiom recognition Language Intelligence is an ideal reference for professionals across sectors and graduate students in related programs of study who have a foundational understanding of computer science, linguistics, and artificial intelligence looking to delve deeper into the intricacies of NLP.…