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Titlebook: Applying Data Science; How to Create Value Arthur K. Kordon Book 2020 Springer Nature Switzerland AG 2020 Data Science.Data Mining.Advance

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發(fā)表于 2025-3-21 16:26:15 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Applying Data Science
期刊簡稱How to Create Value
影響因子2023Arthur K. Kordon
視頻videohttp://file.papertrans.cn/161/160235/160235.mp4
發(fā)行地址Growing discipline of data science is creating enormous business opportunities for converting data into value.Book is ideal for data scientists, managers, and entrepreneurs who will implement the prop
圖書封面Titlebook: Applying Data Science; How to Create Value  Arthur K. Kordon Book 2020 Springer Nature Switzerland AG 2020 Data Science.Data Mining.Advance
影響因子.This book offers practical guidelines on creating value from the application of data science based on selected artificial intelligence methods.?.In Part I, the author introduces a problem-driven approach to implementing AI-based data science and offers practical explanations of key technologies: machine learning, deep learning, decision trees and random forests, evolutionary computation, swarm intelligence, and intelligent agents. In Part II, he describes the main steps in creating AI-based data science solutions for business problems, including problem knowledge acquisition, data preparation, data analysis, model development, and model deployment lifecycle. Finally, in Part III the author illustrates the power of AI-based data science with successful applications in manufacturing and business. He also shows how to introduce this technology in a business setting and guides the reader on how to build the appropriate infrastructure and develop the required skillsets.?.The book is ideal for data scientists who will implement the proposed methodology and techniques in their projects. It is also intended to help business leaders and entrepreneurs who want to create competitive advantag
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Artificial Intelligence-Based Data Science Solutionst of AI, the options in the solution space have increased significantly. On the one hand, this creates new opportunities for new application areas. On the other hand, however, it requires additional knowledge and training in the new methods. Since AI is a field of intensive research, some of these a
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Integrate and Conquer such as minimizing modeling cost and maximizing model performance under a broad range of operating conditions. An obvious result of this strategy is the increased effort in robust data-driven model building, which is very often at an economic optimum. Unfortunately, robustness of empirical solution
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The AI-Based Data Science Workflowt is to discuss how this powerful technology can be applied in industrial settings. It includes six chapters. Chapter . gives an overview of the work process and the project organization step. The remaining five chapters are focused on the details of the key steps of the process. Chapter . discusses
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The Model Deployment Life Cycley effective model deployment. Model deployment is the process of moving a model from an offline development environment to an online system or a large, powerful, and secure database or server where it can be used simultaneously by many mission-critical processes. Another popular name for this step i
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