Handbook of Artificial Intelligence
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| Title: | Handbook of Artificial Intelligence |
|---|---|
| Description: | Artificial Intelligence (AI) is an interdisciplinary science with multiple approaches to solve a problem. Advancements in machine learning (ML) and deep learning are creating a paradigm shift in virtually every tech industry sector. This handbook provides a quick introduction to concepts in AI and ML. The sequence of the book contents has been set in a way to make it easy for students and teachers to understand relevant concepts with a practical orientation. This book starts with an introduction to AI/ML and its applications. Subsequent chapters cover predictions using ML, and focused information about AI/ML algorithms for different industries (health care, agriculture, autonomous driving, image classification and segmentation, SEO, smart gadgets and security). Each industry use-case demonstrates a specific aspect of AI/ML techniques that can be used to create pipelines for technical solutions such as data processing, object detection, classification and more. Additional features of the book include a summary and references in every chapter, and several full-color images to visualize concepts for easy understanding. It is an ideal handbook for both students and instructors in undergraduate level courses in artificial intelligence, data science, engineering and computer science who are required to understand AI/ML in a practical context. |
| Authors: | Dumpala, Shanthi, B., Madhuravani, Ashwani, Kumar |
| Resource Type: | eBook. |
| Subjects: | Artificial intelligence |
| Categories: | COMPUTERS / Artificial Intelligence / General |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
|---|---|
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| Items | – Name: Title Label: Title Group: Ti Data: Handbook of Artificial Intelligence – Name: Abstract Label: Description Group: Ab Data: Artificial Intelligence (AI) is an interdisciplinary science with multiple approaches to solve a problem. Advancements in machine learning (ML) and deep learning are creating a paradigm shift in virtually every tech industry sector. This handbook provides a quick introduction to concepts in AI and ML. The sequence of the book contents has been set in a way to make it easy for students and teachers to understand relevant concepts with a practical orientation. This book starts with an introduction to AI/ML and its applications. Subsequent chapters cover predictions using ML, and focused information about AI/ML algorithms for different industries (health care, agriculture, autonomous driving, image classification and segmentation, SEO, smart gadgets and security). Each industry use-case demonstrates a specific aspect of AI/ML techniques that can be used to create pipelines for technical solutions such as data processing, object detection, classification and more. Additional features of the book include a summary and references in every chapter, and several full-color images to visualize concepts for easy understanding. It is an ideal handbook for both students and instructors in undergraduate level courses in artificial intelligence, data science, engineering and computer science who are required to understand AI/ML in a practical context. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Dumpala%2C+Shanthi%22">Dumpala, Shanthi</searchLink><br /><searchLink fieldCode="AR" term="%22B%2E%2C+Madhuravani%22">B., Madhuravani</searchLink><br /><searchLink fieldCode="AR" term="%22Ashwani%2C+Kumar%22">Ashwani, Kumar</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+General%22">COMPUTERS / Artificial Intelligence / General</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 006.3 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Artificial intelligence Type: general Titles: – TitleFull: Handbook of Artificial Intelligence Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dumpala, Shanthi – PersonEntity: Name: NameFull: B., Madhuravani – PersonEntity: Name: NameFull: Ashwani, Kumar – PersonEntity: Name: NameFull: Dumpala, Shanthi – PersonEntity: Name: NameFull: B., Madhuravani – PersonEntity: Name: NameFull: Ashwani, Kumar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2023 – D: 11 M: 05 Type: profile Y: 2024 Identifiers: – Type: isbn-print Value: 9789815124521 – Type: isbn-electronic Value: 9789815124514 Titles: – TitleFull: Handbook of Artificial Intelligence Type: main |
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