標(biāo)題: Titlebook: Applying Data Science; How to Create Value Arthur K. Kordon Book 2020 Springer Nature Switzerland AG 2020 Data Science.Data Mining.Advance [打印本頁] 作者: rupture 時間: 2025-3-21 16:26
書目名稱Applying Data Science影響因子(影響力)
書目名稱Applying Data Science影響因子(影響力)學(xué)科排名
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
書目名稱Applying Data Science被引頻次
書目名稱Applying Data Science被引頻次學(xué)科排名
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書目名稱Applying Data Science年度引用學(xué)科排名
書目名稱Applying Data Science讀者反饋
書目名稱Applying Data Science讀者反饋學(xué)科排名
作者: 急急忙忙 時間: 2025-3-21 21:33 作者: jaunty 時間: 2025-3-22 01:14
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作者: conspicuous 時間: 2025-3-22 06:11
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作者: 填滿 時間: 2025-3-22 09:35 作者: 遍及 時間: 2025-3-22 14:11
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作者: 反復(fù)無常 時間: 2025-3-22 17:39 作者: 溫順 時間: 2025-3-22 23:11 作者: 槍支 時間: 2025-3-23 03:26 作者: Proponent 時間: 2025-3-23 09:21
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作者: 運動吧 時間: 2025-3-23 12:19
Infrastructurecapabilities, and software “magic” have appeared almost every day. As a result, any attempt to recommend specific solutions or packages at the time of writing this book will be corrected soon by the next wave of technology development. Fast technology dynamics is the only reliable prediction for the作者: Infantry 時間: 2025-3-23 15:38 作者: 燦爛 時間: 2025-3-23 19:07 作者: Definitive 時間: 2025-3-24 00:31
Applications of AI-Based Data Science in Businesse of business activities, such as: defining business strategy, handling business finance, planning, procurement, marketing, and human resources. The first objective of the chapter is to clarify the specifics of business applications, and the second is to discuss the key application directions in bus作者: HALO 時間: 2025-3-24 06:16 作者: 笨拙的我 時間: 2025-3-24 09:04
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 advantag978-3-030-36377-2978-3-030-36375-8作者: 星球的光亮度 時間: 2025-3-24 14:19
Integrate and Conquer and maintenance. This statement is based on the almost infinite number of ways to explore the synergies between modeling methods. The result will be an integrated methodology which significantly improves performance and compensates for the disadvantages of the individual methods.作者: 擦試不掉 時間: 2025-3-24 17:05
Data Analysisis the imagination and problem domain knowledge of data scientists. They should identify the discoveries by thinking outside the box and communicate them clearly to all stakeholders. Since insight is strongly problem-dependent, it is recommended that the SMEs should be part of this process.作者: facilitate 時間: 2025-3-24 20:35 作者: Injunction 時間: 2025-3-25 00:59
https://doi.org/10.1007/978-1-349-01052-3 and maintenance. This statement is based on the almost infinite number of ways to explore the synergies between modeling methods. The result will be an integrated methodology which significantly improves performance and compensates for the disadvantages of the individual methods.作者: abracadabra 時間: 2025-3-25 07:16
J. Angelo Corlett (Fellow in Philosophy)is the imagination and problem domain knowledge of data scientists. They should identify the discoveries by thinking outside the box and communicate them clearly to all stakeholders. Since insight is strongly problem-dependent, it is recommended that the SMEs should be part of this process.作者: nephritis 時間: 2025-3-25 09:24 作者: Ventricle 時間: 2025-3-25 13:28 作者: 從屬 時間: 2025-3-25 17:22
Inclusive Education in Bangladeshneed quick and reliable insight into the current and future performance of their processes, as well as the evolving needs of customers. AI-based Data Science is no longer the purview of the Olympian companies like Google or Amazon. It is a critical competitive differentiator for any modern business.作者: 使饑餓 時間: 2025-3-25 21:51 作者: 大洪水 時間: 2025-3-26 02:10 作者: Etching 時間: 2025-3-26 05:56
How to Operate AI-Based Data Science in a Businessneed quick and reliable insight into the current and future performance of their processes, as well as the evolving needs of customers. AI-based Data Science is no longer the purview of the Olympian companies like Google or Amazon. It is a critical competitive differentiator for any modern business.作者: 在前面 時間: 2025-3-26 10:00
,Some Remarks on ‘Justification’,l interest to industry is the fast transition of AI from a narrow research area in a limited number of academic labs to a key topic in the business world. This process is combined with an invasion of other new paradigms, such as analytics, big data, and the Internet of Things (IoT). On top of that, 作者: Fortuitous 時間: 2025-3-26 12:53 作者: 易受刺激 時間: 2025-3-26 18:39 作者: 外來 時間: 2025-3-26 21:50 作者: 粗糙濫制 時間: 2025-3-27 01:27
,Some Remarks on ‘Justification’,applications. However, a lot of business opportunities are lost due to the slow speed of implementing these technologies in industry. One of the key factors in the slow introduction of AI-driven approaches in business is a lack of knowledge about their capabilities. An obvious solution to this probl作者: parasite 時間: 2025-3-27 05:28 作者: 悲痛 時間: 2025-3-27 12:11 作者: 袋鼠 時間: 2025-3-27 15:21 作者: 暗諷 時間: 2025-3-27 19:21
Discussions Defining the Least Advantagedd insight. In most cases, the expected solution is a data-driven mathematical model (or models). Developing high-fidelity models based on first principles or econometrics is outside the scope of this book. Usually the development of this type of model requires solid fundamental knowledge and the ava作者: Obituary 時間: 2025-3-28 01:17 作者: 亞當(dāng)心理陰影 時間: 2025-3-28 05:27 作者: EXTOL 時間: 2025-3-28 07:20
The Negative Side Effects of Transparencyomponent of the Troika of Applied Data Science, the people, is the most neglected topic of consideration in Data Science community, ignoring the fact that this is the critical factor for final success in real-world applications. A business can invest in the most powerful hardware and sophisticated t作者: animated 時間: 2025-3-28 12:56 作者: 含糊其辭 時間: 2025-3-28 14:58 作者: tinnitus 時間: 2025-3-28 21:10 作者: 范例 時間: 2025-3-29 00:10
https://doi.org/10.1007/978-94-6351-080-6Data preparation includes data collection and integration, visual data exploration, and data preprocessing by imputing missing data, handling outliers, data transformation, and data balancing. Some of these actions are not trivial and require domain knowledge. Very often they need several iterations until data of acceptable quality is achieved.作者: 擴張 時間: 2025-3-29 05:18 作者: Gyrate 時間: 2025-3-29 08:36
Arthur K. KordonGrowing 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作者: 哎呦 時間: 2025-3-29 14:21
http://image.papertrans.cn/b/image/160235.jpg作者: 石墨 時間: 2025-3-29 16:05 作者: 河流 時間: 2025-3-29 21:21 作者: Biguanides 時間: 2025-3-30 02:06 作者: Crater 時間: 2025-3-30 07:55
https://doi.org/10.1007/978-1-349-01052-3pproaches, such as deep learning and cognitive computing, are still in the exploratory phase and not entirely ready for prime time. Other AI-based approaches, such as neural networks, support vector machines, decision trees, and evolutionary computation, have reached a level of maturity that has opened the door to industrial applications.作者: cortex 時間: 2025-3-30 09:48
Child Maltreatment and Mental Health,liverables from knowledge acquisition are a problem description, an explaination of known features of the problem, defined hypotheses, the recommended data, to name a few. They are used in different steps of the Data Science workflow and contribute to more efficient data analysis and model development.作者: mutineer 時間: 2025-3-30 15:26 作者: Inclement 時間: 2025-3-30 20:23 作者: chance 時間: 2025-3-30 22:00 作者: Generosity 時間: 2025-3-31 04:24
sts, managers, and entrepreneurs who will implement the prop.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 scien作者: 洞察力 時間: 2025-3-31 07:48 作者: 積習(xí)難改 時間: 2025-3-31 10:24
https://doi.org/10.1007/978-3-031-35553-0irst objective of the chapter is to clarify the specifics of business applications, and the second is to discuss the key application directions in business driven by digital technologies and AI. The third objective is to give examples of successful AI-based Data Science applications in business.作者: 恫嚇 時間: 2025-3-31 14:52 作者: 無法破譯 時間: 2025-3-31 19:47 作者: ARK 時間: 2025-4-1 01:31
