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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書目名稱Applying Data Science影響因子(影響力)




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書目名稱Applying Data Science網(wǎng)絡(luò)公開度




書目名稱Applying Data Science網(wǎng)絡(luò)公開度學(xué)科排名




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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