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11.
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L 82
Liu, Yuxi (Hayden),.
Python machine learning by example : : easy-to-follow examples that get you up and running with machine learning / / Yuxi (Hayden) Liu. - Second edition. - Birmingham, UK : : Packt Publishing,, 2019. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/13BEB123-CD2E-42D2-AE3F-47D088541895. - ISBN 9781789617559 (electronic bk.). - ISBN 1789617553 (electronic bk.)
Online resource; title from PDF title page (EBSCO, viewed April 8, 2019)
~РУБ DDC 005.133
Рубрики: Python (Computer program language)
Machine learning.
COMPUTERS / Programming Languages / Python.
COMPUTERS / Data Processing.
COMPUTERS / Databases / Data Mining.
L 82
Liu, Yuxi (Hayden),.
Python machine learning by example : : easy-to-follow examples that get you up and running with machine learning / / Yuxi (Hayden) Liu. - Second edition. - Birmingham, UK : : Packt Publishing,, 2019. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/13BEB123-CD2E-42D2-AE3F-47D088541895. - ISBN 9781789617559 (electronic bk.). - ISBN 1789617553 (electronic bk.)
Online resource; title from PDF title page (EBSCO, viewed April 8, 2019)
Рубрики: Python (Computer program language)
Machine learning.
COMPUTERS / Programming Languages / Python.
COMPUTERS / Data Processing.
COMPUTERS / Databases / Data Mining.
12.
Подробнее
M 30
Marin, Ivan.
Big data analysis with Python : : combine Spark and Python to unlock the powers of parallel computing and machine learning / / Ivan Marin, Ankit Shukla and Sarang VK. - Birmingham, UK : : Packt Publishing,, ©2019. - 1 online resource (276 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/A54B9FA8-4515-4245-ADFA-20CAFAA69C26. - ISBN 1789950732 (electronic book). - ISBN 9781789950731 (electronic book)
Description based on online resource; title from digital title page (viewed on January 06, 2020).
Параллельные издания: Print version: : Marin, Ivan. Big Data Analysis with Python : Combine Spark and Python to Unlock the Powers of Parallel Computing and Machine Learning. - Birmingham : Packt Publishing Ltd, ©2019. - ISBN 9781789955286
Содержание:
Chapter 1: The Python Data Science Stack -- Chapter 2: Statistical Visualizations -- Chapter 3: Working with Big Data Frameworks -- Chapter 4: Diving Deeper with Spark -- Chapter 5: Handling Missing Values and Correlation Analysis -- Chapter 6: Exploratory Data Analysis -- Chapter 7: Reproducibility in Big Data Analysis -- Chapter 8: Creating a Full Analysis Report
~РУБ DDC 005.7
Рубрики: Big data.
Python (Computer program language)
Cloud computing.
Machine learning.
Big data.
Cloud computing.
Machine learning.
Python (Computer program language)
Аннотация: Processing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control the data avalanche for you. With this book, you'll learn effective techniques to aggregate data into useful dimensions for posterior analysis, extract ...
Доп.точки доступа:
Shukla, Ankit.
VK, Sarang.
M 30
Marin, Ivan.
Big data analysis with Python : : combine Spark and Python to unlock the powers of parallel computing and machine learning / / Ivan Marin, Ankit Shukla and Sarang VK. - Birmingham, UK : : Packt Publishing,, ©2019. - 1 online resource (276 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/A54B9FA8-4515-4245-ADFA-20CAFAA69C26. - ISBN 1789950732 (electronic book). - ISBN 9781789950731 (electronic book)
Description based on online resource; title from digital title page (viewed on January 06, 2020).
Параллельные издания: Print version: : Marin, Ivan. Big Data Analysis with Python : Combine Spark and Python to Unlock the Powers of Parallel Computing and Machine Learning. - Birmingham : Packt Publishing Ltd, ©2019. - ISBN 9781789955286
Содержание:
Chapter 1: The Python Data Science Stack -- Chapter 2: Statistical Visualizations -- Chapter 3: Working with Big Data Frameworks -- Chapter 4: Diving Deeper with Spark -- Chapter 5: Handling Missing Values and Correlation Analysis -- Chapter 6: Exploratory Data Analysis -- Chapter 7: Reproducibility in Big Data Analysis -- Chapter 8: Creating a Full Analysis Report
Рубрики: Big data.
Python (Computer program language)
Cloud computing.
Machine learning.
Big data.
Cloud computing.
Machine learning.
Python (Computer program language)
Аннотация: Processing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control the data avalanche for you. With this book, you'll learn effective techniques to aggregate data into useful dimensions for posterior analysis, extract ...
Доп.точки доступа:
Shukla, Ankit.
VK, Sarang.
13.
Подробнее
H 22
Handbook of research on machine and deep learning applications for cyber security / / Padmavathi Ganapathi and D. Shanmugapriya, editors. - 4018/978-1-5225-9611-0. - Hershey, PA : : IGI Global,, [2020]. - 1 online resource (482 pages) ( час. мин.), 4018/978-1-5225-9611-0. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/FE415765-1FDE-468A-8AB9-52350B19F382. - ISBN 1522596135 (electronic book). - ISBN 9781522596141 (electronic book). - ISBN 1522596143 (electronic book). - ISBN 9781522596134 (electronic bk.)
Description based on online resource; title from digital title page (viewed on September 03, 2019).
Параллельные издания: Print version: :
Содержание:
Chapter 1. Review on intelligent algorithms for cyber security -- Chapter 2. A review on cyber security mechanisms using machine and deep learning algorithms -- Chapter 3. Review on machine and deep learning applications for cyber security -- Chapter 4. Applications of machine learning in cyber security domain -- Chapter 5. Applications of machine learning in cyber security -- Chapter 6. Malware and anomaly detection using machine learning and deep learning methods -- Chapter 7. Cyber threats detection and mitigation using machine learning -- Chapter 8. Hybridization of machine learning algorithm in intrusion detection system -- Chapter 9. A hybrid approach to detect the malicious applications in android-based smartphones using deep learning -- Chapter 10. Anomaly-based intrusion detection: adapting to present and forthcoming communication environments -- Chapter 11. Traffic analysis of UAV networks using enhanced deep feed forward neural networks (EDFFNN) -- Chapter 12. A novel biometric image enhancement approach with the hybridization of undecimated wavelet transform and deep autoencoder -- Chapter 13. A 3D-cellular automata-based publicly-verifiable threshold secret sharing -- Chapter 14. Big data analytics for intrusion detection: an overview -- Chapter 15. Big data analytics with machine learning and deep learning methods for detection of anomalies in network traffic -- Chapter 16. A secure protocol for high-dimensional big data providing data privacy -- Chapter 17. A review of machine learning methods applied for handling zero-day attacks in the cloud environment -- Chapter 18. Adoption of machine learning with adaptive approach for securing CPS -- Chapter 19. Variable selection method for regression models using computational intelligence techniques.
~РУБ DDC 006.3/1
Рубрики: Computer networks--Security measures.
Computer security--Data processing.
Computer crimes--Prevention--Data processing.
Machine learning.
Аннотация: "This book explores the use of machine learning and deep learning applications in the areas of cyber security and cyber-attack handling mechanisms"--
Доп.точки доступа:
Ganapathi, Padmavathi, (1964-) \editor.\
Shanmugapriya, D., (1978-) \editor.\
IGI Global,
H 22
Handbook of research on machine and deep learning applications for cyber security / / Padmavathi Ganapathi and D. Shanmugapriya, editors. - 4018/978-1-5225-9611-0. - Hershey, PA : : IGI Global,, [2020]. - 1 online resource (482 pages) ( час. мин.), 4018/978-1-5225-9611-0. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/FE415765-1FDE-468A-8AB9-52350B19F382. - ISBN 1522596135 (electronic book). - ISBN 9781522596141 (electronic book). - ISBN 1522596143 (electronic book). - ISBN 9781522596134 (electronic bk.)
Description based on online resource; title from digital title page (viewed on September 03, 2019).
Параллельные издания: Print version: :
Содержание:
Chapter 1. Review on intelligent algorithms for cyber security -- Chapter 2. A review on cyber security mechanisms using machine and deep learning algorithms -- Chapter 3. Review on machine and deep learning applications for cyber security -- Chapter 4. Applications of machine learning in cyber security domain -- Chapter 5. Applications of machine learning in cyber security -- Chapter 6. Malware and anomaly detection using machine learning and deep learning methods -- Chapter 7. Cyber threats detection and mitigation using machine learning -- Chapter 8. Hybridization of machine learning algorithm in intrusion detection system -- Chapter 9. A hybrid approach to detect the malicious applications in android-based smartphones using deep learning -- Chapter 10. Anomaly-based intrusion detection: adapting to present and forthcoming communication environments -- Chapter 11. Traffic analysis of UAV networks using enhanced deep feed forward neural networks (EDFFNN) -- Chapter 12. A novel biometric image enhancement approach with the hybridization of undecimated wavelet transform and deep autoencoder -- Chapter 13. A 3D-cellular automata-based publicly-verifiable threshold secret sharing -- Chapter 14. Big data analytics for intrusion detection: an overview -- Chapter 15. Big data analytics with machine learning and deep learning methods for detection of anomalies in network traffic -- Chapter 16. A secure protocol for high-dimensional big data providing data privacy -- Chapter 17. A review of machine learning methods applied for handling zero-day attacks in the cloud environment -- Chapter 18. Adoption of machine learning with adaptive approach for securing CPS -- Chapter 19. Variable selection method for regression models using computational intelligence techniques.
Рубрики: Computer networks--Security measures.
Computer security--Data processing.
Computer crimes--Prevention--Data processing.
Machine learning.
Аннотация: "This book explores the use of machine learning and deep learning applications in the areas of cyber security and cyber-attack handling mechanisms"--
Доп.точки доступа:
Ganapathi, Padmavathi, (1964-) \editor.\
Shanmugapriya, D., (1978-) \editor.\
IGI Global,
14.
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S 43
SEBASTIAN, RASCHKA;VAHID MIRJALILI.
PYTHON MACHINE LEARNING;MACHINE LEARNING AND DEEP LEARNING WITH PYTHON, SCIKIT-LEARN, AND TENSORFLOW 2, 3RD EDITION [[electronic resource].] / RASCHKA;VAHID MIRJALILI. SEBASTIAN. - [Б. м.] : PACKT PUBLISHING,, 2019. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/2A1FA4F8-993A-427A-A347-23A5CC14174E. - ISBN 1789958296 (electronic bk.). - ISBN 9781789958294 (electronic bk.)
~РУБ DDC 005.133
Рубрики: Python (Computer program language)
Machine learning.
S 43
SEBASTIAN, RASCHKA;VAHID MIRJALILI.
PYTHON MACHINE LEARNING;MACHINE LEARNING AND DEEP LEARNING WITH PYTHON, SCIKIT-LEARN, AND TENSORFLOW 2, 3RD EDITION [[electronic resource].] / RASCHKA;VAHID MIRJALILI. SEBASTIAN. - [Б. м.] : PACKT PUBLISHING,, 2019. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/2A1FA4F8-993A-427A-A347-23A5CC14174E. - ISBN 1789958296 (electronic bk.). - ISBN 9781789958294 (electronic bk.)
Рубрики: Python (Computer program language)
Machine learning.
15.
Подробнее
S 70
So, Anthony ((Data scientist),).
The data science workshop : : a new, interactive approach to learning data science / / Anthony So [and four others]. - First edition. - Birmingham, UK : : Packt Publishing,, ©2020. - 1 online resource (1 volume) : : il. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/C283A19B-B41C-4AB2-968E-469D160804BD. - ISBN 9781838983086 (electronic book). - ISBN 1838983082 (electronic book)
Description based on online resource; title from cover (Safari, viewed July 17, 2020).
Параллельные издания: Print version: : So, Anthony. Data Science Workshop : A New, Interactive Approach to Learning Data Science. - Birmingham : Packt Publishing, Limited, ©2020. - ISBN 9781838981266
~РУБ DDC 006.31
Рубрики: Machine learning.
Electronic data processing.
Statistics--Data processing.
Python (Computer program language)
Application software--Development.
Application software--Development
Electronic data processing
Machine learning
Python (Computer program language)
Statistics--Data processing
Аннотация: Cut through the noise and get real results with a step-by-step approach to data science.
S 70
So, Anthony ((Data scientist),).
The data science workshop : : a new, interactive approach to learning data science / / Anthony So [and four others]. - First edition. - Birmingham, UK : : Packt Publishing,, ©2020. - 1 online resource (1 volume) : : il. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/C283A19B-B41C-4AB2-968E-469D160804BD. - ISBN 9781838983086 (electronic book). - ISBN 1838983082 (electronic book)
Description based on online resource; title from cover (Safari, viewed July 17, 2020).
Параллельные издания: Print version: : So, Anthony. Data Science Workshop : A New, Interactive Approach to Learning Data Science. - Birmingham : Packt Publishing, Limited, ©2020. - ISBN 9781838981266
Рубрики: Machine learning.
Electronic data processing.
Statistics--Data processing.
Python (Computer program language)
Application software--Development.
Application software--Development
Electronic data processing
Machine learning
Python (Computer program language)
Statistics--Data processing
Аннотация: Cut through the noise and get real results with a step-by-step approach to data science.
16.
Подробнее
K 83
Krishnakumar, Arunkumar,.
Quantum computing and Blockchain in business : : exploring the applications, challenges, and collision of quantum computing and blockchain / / Arunkumar Krishnakumar. - Birmingham, UK : : Packt Publishing,, 2020. - 1 online resource (1 volume) : : il. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/58D30AF0-02FA-4E32-9F42-E5F6D4682ECC. - ISBN 1838646132. - ISBN 9781838646134 (electronic bk.)
Description based on online resource; title from title page (Safari, viewed September 3, 2020).
Содержание:
Table of ContentsIntroduction to Quantum Computing and BlockchainQuantum Computing - Key Discussion PointsThe Data EconomyThe Impact on Financial ServicesInterview with Dr. Dave Snelling, Fujitsu FellowThe Impact on Healthcare and PharmaInterview with Dr. B. Rajathilagam, Head of AI Research, Amrita Vishwa VidyapeethamThe Impact on GovernanceInterview with Max Henderson, Senior Data Scientist, Rigetti and QxBranchThe Impact on Smart Cities and EnvironmentInterview with Sam McArdle, Quantum Computing Researcher at the University of OxfordThe Impact on ChemistryThe Impact on Logistics(N.B. Please use the Look Inside option to see further chapters).
~РУБ DDC 658.514
Рубрики: Quantum computing.
Blockchains (Databases)
Information technology--Management.
Technological innovations--Management.
Coding theory & cryptology.
Data encryption.
Artificial intelligence.
Machine learning.
Mathematical theory of computation.
Computers--Intelligence (AI) & Semantics.
Computers--Security--Cryptography.
Computers--Machine Theory.
Blockchains (Databases)
Information technology--Management
Quantum computing
Technological innovations--Management
K 83
Krishnakumar, Arunkumar,.
Quantum computing and Blockchain in business : : exploring the applications, challenges, and collision of quantum computing and blockchain / / Arunkumar Krishnakumar. - Birmingham, UK : : Packt Publishing,, 2020. - 1 online resource (1 volume) : : il. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/58D30AF0-02FA-4E32-9F42-E5F6D4682ECC. - ISBN 1838646132. - ISBN 9781838646134 (electronic bk.)
Description based on online resource; title from title page (Safari, viewed September 3, 2020).
Содержание:
Table of ContentsIntroduction to Quantum Computing and BlockchainQuantum Computing - Key Discussion PointsThe Data EconomyThe Impact on Financial ServicesInterview with Dr. Dave Snelling, Fujitsu FellowThe Impact on Healthcare and PharmaInterview with Dr. B. Rajathilagam, Head of AI Research, Amrita Vishwa VidyapeethamThe Impact on GovernanceInterview with Max Henderson, Senior Data Scientist, Rigetti and QxBranchThe Impact on Smart Cities and EnvironmentInterview with Sam McArdle, Quantum Computing Researcher at the University of OxfordThe Impact on ChemistryThe Impact on Logistics(N.B. Please use the Look Inside option to see further chapters).
Рубрики: Quantum computing.
Blockchains (Databases)
Information technology--Management.
Technological innovations--Management.
Coding theory & cryptology.
Data encryption.
Artificial intelligence.
Machine learning.
Mathematical theory of computation.
Computers--Intelligence (AI) & Semantics.
Computers--Security--Cryptography.
Computers--Machine Theory.
Blockchains (Databases)
Information technology--Management
Quantum computing
Technological innovations--Management
17.
Подробнее
D 50
Dey, Sandipan,.
Python image processing cookbook : : over 60 recipes to help you perform complex image processing and computer vision tasks with ease / / Sandipan Dey. - Birmingham, UK : : Packt Publishing,, 2020. - 1 online resource (1 volume) : : il. - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/E8D7B698-72F2-40EB-9849-6F94C1208D9D. - ISBN 9781789535181. - ISBN 1789535182
Description based on online resource; title from title page (Safari, viewed September 16, 2020).
~РУБ DDC 005.133
Рубрики: Image processing.
Python (Computer program language)
Computer vision.
Machine learning.
Computer vision
Image processing
Machine learning
Python (Computer program language)
D 50
Dey, Sandipan,.
Python image processing cookbook : : over 60 recipes to help you perform complex image processing and computer vision tasks with ease / / Sandipan Dey. - Birmingham, UK : : Packt Publishing,, 2020. - 1 online resource (1 volume) : : il. - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/E8D7B698-72F2-40EB-9849-6F94C1208D9D. - ISBN 9781789535181. - ISBN 1789535182
Description based on online resource; title from title page (Safari, viewed September 16, 2020).
Рубрики: Image processing.
Python (Computer program language)
Computer vision.
Machine learning.
Computer vision
Image processing
Machine learning
Python (Computer program language)
18.
Подробнее
S 62
Singh, Anubhav,.
Hands-on Python deep learning for web : a comprehensive guide to integrating neural network architectures to bring smart automation for web / / Anubhav Singh, Sayak Paul. - Birmingham : : Packt Publishing,, 2020. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/1B60B6EA-7E7A-48E6-808E-2D7F154988FE. - ISBN 9781789953794 (electronic book). - ISBN 1789953790 (electronic book)
Параллельные издания: Print version : :
Содержание:
Table of ContentsDemystifying Artificial Intelligence and Fundamentals of Machine LearningGetting Started with Deep Learning Using PythonCreating Your First Deep Learning Web ApplicationGetting Started with TensorFlow.jsDeep Learning through APIsDeep Learning on Google Cloud Platform Using PythonDL on AWS Using Python: Object Detection and Home AutomationDeep Learning on Microsoft Azure Using PythonA General Production Framework for Deep Learning-Enabled WebsitesSecuring Web Apps with Deep LearningDIY -- A Web DL Production EnvironmentCreating an E2E Web App Using DL APIs and Customer Support ChatbotAppendix: Success Stories and Emerging Areas in Deep Learning on the Web.
~РУБ DDC 005.133
Рубрики: Python (Computer program language)
Machine learning.
Neural networks (Computer science)
Machine learning
Neural networks (Computer science)
Python (Computer program language)
Аннотация: This book will help you successfully implement deep learning in Python to create smart web applications from scratch. You will learn how deep learning can transform a simple web app into a smart, business-friendly product. You will also develop neural networks using open-source libraries and also integrate them with different web stack front-ends.
Доп.точки доступа:
Paul, Sayak, \author.\
S 62
Singh, Anubhav,.
Hands-on Python deep learning for web : a comprehensive guide to integrating neural network architectures to bring smart automation for web / / Anubhav Singh, Sayak Paul. - Birmingham : : Packt Publishing,, 2020. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/1B60B6EA-7E7A-48E6-808E-2D7F154988FE. - ISBN 9781789953794 (electronic book). - ISBN 1789953790 (electronic book)
Параллельные издания: Print version : :
Содержание:
Table of ContentsDemystifying Artificial Intelligence and Fundamentals of Machine LearningGetting Started with Deep Learning Using PythonCreating Your First Deep Learning Web ApplicationGetting Started with TensorFlow.jsDeep Learning through APIsDeep Learning on Google Cloud Platform Using PythonDL on AWS Using Python: Object Detection and Home AutomationDeep Learning on Microsoft Azure Using PythonA General Production Framework for Deep Learning-Enabled WebsitesSecuring Web Apps with Deep LearningDIY -- A Web DL Production EnvironmentCreating an E2E Web App Using DL APIs and Customer Support ChatbotAppendix: Success Stories and Emerging Areas in Deep Learning on the Web.
Рубрики: Python (Computer program language)
Machine learning.
Neural networks (Computer science)
Machine learning
Neural networks (Computer science)
Python (Computer program language)
Аннотация: This book will help you successfully implement deep learning in Python to create smart web applications from scratch. You will learn how deep learning can transform a simple web app into a smart, business-friendly product. You will also develop neural networks using open-source libraries and also integrate them with different web stack front-ends.
Доп.точки доступа:
Paul, Sayak, \author.\
19.
Подробнее
I 69
Internet of Things and machine learning in agriculture : : technological impacts and challenges / / edited by Vishal Jain, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore. - Berlin ; ; Boston : : Walter de Gruyter GmbH,, 2021. - 1 online resource (xvi, 410 pages) : : il. - (De Gruyter frontiers in computational intelligence ; ; volume 8). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/50820268-35AC-4432-8B7B-39A469CF486C. - ISBN 9783110691276 (electronic bk. ;. - ISBN 3110691272 (electronic bk. ;. - ISBN 9783110691283 (electronic bk. ;. - ISBN 3110691280 (electronic bk. ;
Print version of record.
Параллельные издания: Print version: : Chatterjee, Jyotir Moy Internet of Things and machine learning in agriculture. - Berlin/Boston : Walter de Gruyter GmbH,c2021
~РУБ DDC 338.102854678
Рубрики: Agriculture--Data processing.
Internet of things.
Artificial intelligence--Agricultural applications.
Machine learning.
Agriculture--Informatique.
Internet des objets.
Intelligence artificielle--Applications agricoles.
Apprentissage automatique.
COMPUTERS / Information Technology.
Agriculture--Data processing.
Internet of things.
Electronic books.
Аннотация: Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates, worldwide food production needs to increase to keep up with global food demand. 'Machine Learning and the Internet of Things' can play a promising role in the Agricultural industry, and help to increase food production while respecting the environment. This book explains how these technologies can be applied, offering many case studies developed in the research world.
Доп.точки доступа:
Jain, Vishal, (1983-) \editor.\
Chatterjee, Jyotir Moy, \editor.\
Kumar, Abhishek, \editor.\
Rathore, Pramod Singh, (1988-) \editor.\
I 69
Internet of Things and machine learning in agriculture : : technological impacts and challenges / / edited by Vishal Jain, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore. - Berlin ; ; Boston : : Walter de Gruyter GmbH,, 2021. - 1 online resource (xvi, 410 pages) : : il. - (De Gruyter frontiers in computational intelligence ; ; volume 8). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/50820268-35AC-4432-8B7B-39A469CF486C. - ISBN 9783110691276 (electronic bk. ;. - ISBN 3110691272 (electronic bk. ;. - ISBN 9783110691283 (electronic bk. ;. - ISBN 3110691280 (electronic bk. ;
Print version of record.
Параллельные издания: Print version: : Chatterjee, Jyotir Moy Internet of Things and machine learning in agriculture. - Berlin/Boston : Walter de Gruyter GmbH,c2021
Рубрики: Agriculture--Data processing.
Internet of things.
Artificial intelligence--Agricultural applications.
Machine learning.
Agriculture--Informatique.
Internet des objets.
Intelligence artificielle--Applications agricoles.
Apprentissage automatique.
COMPUTERS / Information Technology.
Agriculture--Data processing.
Internet of things.
Electronic books.
Аннотация: Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates, worldwide food production needs to increase to keep up with global food demand. 'Machine Learning and the Internet of Things' can play a promising role in the Agricultural industry, and help to increase food production while respecting the environment. This book explains how these technologies can be applied, offering many case studies developed in the research world.
Доп.точки доступа:
Jain, Vishal, (1983-) \editor.\
Chatterjee, Jyotir Moy, \editor.\
Kumar, Abhishek, \editor.\
Rathore, Pramod Singh, (1988-) \editor.\
20.
Подробнее
A 22
Advances in malware and data-driven network security / / Brij B. Gupta. - Hershey, PA : : Information Science Reference, an imprint of IGI Global,, [2022]. - 1 online resource : : il. - (Advances in information security, privacy, and ethics (AISPE) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/A127A850-E1C0-452F-A840-A6403B99AC22. - ISBN 9781799877929 (electronic book). - ISBN 1799877922 (electronic book). - ISBN 1799877914 (electronic book). - ISBN 9781799877912 (electronic bk.)
"Premier Reference Source" -- taken from front cover. Description based on online resource; title from digital title page (viewed on December 28, 2021).
Параллельные издания: Print version: : Advances in malware and data-driven network security. - Hershey, PA : Information Science Reference, [2021]. - ISBN 9781799877899
~РУБ DDC 005.8
Рубрики: Computer networks--Security measures.
Malware (Computer software)
Machine learning.
Digital forensic science.
Computer networks--Security measures.
Digital forensic science.
Machine learning.
Malware (Computer software)
Аннотация: "This book describes some of the recent notable advances in threat-detection using machine-learning and artificial-intelligence with a focus on malwares, covering the current trends in ML/statistical approaches to detecting, clustering or classification of cyber-threats extensively"--
Доп.точки доступа:
Gupta, Brij, (1982-) \editor.\
A 22
Advances in malware and data-driven network security / / Brij B. Gupta. - Hershey, PA : : Information Science Reference, an imprint of IGI Global,, [2022]. - 1 online resource : : il. - (Advances in information security, privacy, and ethics (AISPE) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/A127A850-E1C0-452F-A840-A6403B99AC22. - ISBN 9781799877929 (electronic book). - ISBN 1799877922 (electronic book). - ISBN 1799877914 (electronic book). - ISBN 9781799877912 (electronic bk.)
"Premier Reference Source" -- taken from front cover. Description based on online resource; title from digital title page (viewed on December 28, 2021).
Параллельные издания: Print version: : Advances in malware and data-driven network security. - Hershey, PA : Information Science Reference, [2021]. - ISBN 9781799877899
Рубрики: Computer networks--Security measures.
Malware (Computer software)
Machine learning.
Digital forensic science.
Computer networks--Security measures.
Digital forensic science.
Machine learning.
Malware (Computer software)
Аннотация: "This book describes some of the recent notable advances in threat-detection using machine-learning and artificial-intelligence with a focus on malwares, covering the current trends in ML/statistical approaches to detecting, clustering or classification of cyber-threats extensively"--
Доп.точки доступа:
Gupta, Brij, (1982-) \editor.\
Страница 2, Результатов: 55