| 書目名稱 | Machine Learning for Decision Makers |
| 副標題 | Cognitive Computing |
| 編輯 | Patanjali Kashyap |
| 視頻video | http://file.papertrans.cn/621/620612/620612.mp4 |
| 概述 | Explains the business challenges and applications of machine learning in big data, IoT, and cloud and cognitive computing in different fields and domains.Includes matrices, KPIs, and performance measu |
| 圖書封面 |  |
| 描述 | Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. .Machine Learning for Decision Makers?.serves as an excellent resource for establishing the relationship of machine learning with IoT, big data, and cognitive and cloud computing to give you an overview of how these modern areas of computing relate to each other.?.This book introduces a collection of the most important concepts of machine learning and sets them in context with other vital technologies that decision makers need to know about. These concepts span the process from envisioning the problem to applying machine-learning techniques to your particular situation. This discussion also provides an insight to help deploy the results to improve decision-making..The book usescase studies and jargon busting to help you grasp the theory of machine learning quickly. You‘ll soon gain the big picture of machine learning and how it fits with other cutting-edge IT services. This knowledge will give you confidence in your decisions for the future of your busi |
| 出版日期 | Book 20171st edition |
| 關(guān)鍵詞 | Machine Learning; Big Data; Bayesian Networks; Artificial Neural Networks; Vector Machines; Cloud; IoT; Sec |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4842-2988-0 |
| isbn_ebook | 978-1-4842-2988-0 |
| copyright | Patanjali Kashyap 2017 |
|Archiver|手機版|小黑屋|
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