| 書(shū)目名稱(chēng) | World of Business with Data and Analytics |
| 編輯 | Neha Sharma,Mandar Bhatavdekar |
| 視頻video | http://file.papertrans.cn/1032/1031214/1031214.mp4 |
| 概述 | Covers research work by subject matter experts from business world.Highlights the real-life business problems that are relevant to any industry and technology environment.Discusses the power of data a |
| 叢書(shū)名稱(chēng) | Studies in Autonomic, Data-driven and Industrial Computing |
| 圖書(shū)封面 |  |
| 描述 | .This book covers research work spanning the breadth of ventures, a variety of challenges and the finest of techniques used to address data and analytics, by subject matter experts from the business world. The content of this book highlights the real-life business problems that are relevant to any industry and technology environment. This book helps us become a contributor to and accelerator of artificial intelligence, data science and analytics, deploy a structured life-cycle approach to data related issues, apply appropriate analytical tools & techniques to analyze data and deliver solutions with a difference. It also brings out the story-telling element in a compelling fashion using data and analytics. This prepares the readers to drive quantitative and qualitative outcomes and apply this mindset to various business actions in different domains such as energy, manufacturing, health care, BFSI, security, etc.. |
| 出版日期 | Book 2022 |
| 關(guān)鍵詞 | Artificial Intelligence; Machine Learning; Data Analytics; Computer Vision; Production Industry; Deep Lea |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-19-5689-8 |
| isbn_softcover | 978-981-19-5691-1 |
| isbn_ebook | 978-981-19-5689-8Series ISSN 2730-6437 Series E-ISSN 2730-6445 |
| issn_series | 2730-6437 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
|Archiver|手機(jī)版|小黑屋|
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