標題: Titlebook: Data Science in Practice; Alan Said,Vicen? Torra Book 2019 Springer Nature Switzerland AG 2019 Data Science applications.Big Data.Intellig [打印本頁] 作者: malcontented 時間: 2025-3-21 19:25
書目名稱Data Science in Practice影響因子(影響力)
書目名稱Data Science in Practice影響因子(影響力)學(xué)科排名
書目名稱Data Science in Practice網(wǎng)絡(luò)公開度
書目名稱Data Science in Practice網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data Science in Practice被引頻次
書目名稱Data Science in Practice被引頻次學(xué)科排名
書目名稱Data Science in Practice年度引用
書目名稱Data Science in Practice年度引用學(xué)科排名
書目名稱Data Science in Practice讀者反饋
書目名稱Data Science in Practice讀者反饋學(xué)科排名
作者: obsolete 時間: 2025-3-21 23:35 作者: 凌辱 時間: 2025-3-22 01:56 作者: Aids209 時間: 2025-3-22 08:35
Complex Data Analysishat can be used to extract information and, thus, analyze these three types of data. In particular, we discuss topic modeling using a hierarchical statistical model as a way to extract relevant topics from texts, image analysis using convolutional neural networks, and measures and visual methods to summarize information from graphs.作者: coddle 時間: 2025-3-22 12:20
Data Science: An Introduction,elevant tools that can be used in data science ranging from optimization to software. We also discuss the relevance of building models from data. The chapter ends with a detailed review of the structure of the book.作者: RUPT 時間: 2025-3-22 13:42 作者: RUPT 時間: 2025-3-22 18:00
Cengiz Kahraman,Cafer Erhan Bozda?hat can be used to extract information and, thus, analyze these three types of data. In particular, we discuss topic modeling using a hierarchical statistical model as a way to extract relevant topics from texts, image analysis using convolutional neural networks, and measures and visual methods to summarize information from graphs.作者: 構(gòu)想 時間: 2025-3-22 21:42
Book 2019d how it can be implemented using modern open source software. The book offers an essential guide to modern data science for all students, practitioners, developers and managers seeking a deeper understanding of how various aspects of data science work, and of how they can be employed to gain a competitive advantage.作者: 彎腰 時間: 2025-3-23 02:03 作者: 無效 時間: 2025-3-23 08:19
Business Intelligenceloratory, inferential, and predictive. This is followed by a discussion on metric design, data dictionaries, and key performance indicators. We end by reviewing the role of business intelligence teams and some of the current trends in business intelligence.作者: 間接 時間: 2025-3-23 12:08 作者: Engulf 時間: 2025-3-23 13:56 作者: 背書 時間: 2025-3-23 18:45 作者: Flu表流動 時間: 2025-3-24 00:28
Book 2019customed to seeing these terms mentioned time and time again in the mainstream media. However, our understanding of what they actually mean often remains limited. This book provides a general overview of the terms and approaches used broadly in data science, and provides detailed information on the 作者: cyanosis 時間: 2025-3-24 05:00
https://doi.org/10.1007/978-3-662-06373-6data use is undefined and the protected database is required to be useful for several data uses. We also provide a definition of information loss (or data utility) for this type of data protection mechanism. The chapter finishes with a summary.作者: Heart-Attack 時間: 2025-3-24 07:45 作者: hieroglyphic 時間: 2025-3-24 12:08
Data Privacydata use is undefined and the protected database is required to be useful for several data uses. We also provide a definition of information loss (or data utility) for this type of data protection mechanism. The chapter finishes with a summary.作者: 弄皺 時間: 2025-3-24 17:15 作者: 思想流動 時間: 2025-3-24 19:53 作者: Inflammation 時間: 2025-3-25 00:28 作者: 態(tài)學(xué) 時間: 2025-3-25 05:15
Alan Said,Vicen? TorraPresents the latest research on Data Science in Practice.Especially focuses on the applications of Data Science and Big Data.Written by respected experts in the field作者: 彩色的蠟筆 時間: 2025-3-25 10:48
Studies in Big Datahttp://image.papertrans.cn/d/image/263130.jpg作者: Immunoglobulin 時間: 2025-3-25 14:38 作者: 簡略 時間: 2025-3-25 17:17
https://doi.org/10.1007/978-3-662-06373-6In this chapter we give an introduction to Apache Spark, a Big Data programming framework. We describe the framework’s core aspects as well as some of the challenges that parallel and distributed computing entail.作者: 顯微鏡 時間: 2025-3-25 20:20 作者: 細微差別 時間: 2025-3-26 03:52
Big Data programming with Apache SparkIn this chapter we give an introduction to Apache Spark, a Big Data programming framework. We describe the framework’s core aspects as well as some of the challenges that parallel and distributed computing entail.作者: 滲透 時間: 2025-3-26 04:47 作者: Cabinet 時間: 2025-3-26 12:23
Data Science in Practice978-3-319-97556-6Series ISSN 2197-6503 Series E-ISSN 2197-6511 作者: Limpid 時間: 2025-3-26 13:32 作者: garrulous 時間: 2025-3-26 20:34
Shib Sankar Bhowmick,Debotosh Bhattacharjee data science, and point out how it relates to the areas of statistics, machine learning and big data technologies. Then, we review some of the most relevant tools that can be used in data science ranging from optimization to software. We also discuss the relevance of building models from data. The 作者: 兇猛 時間: 2025-3-26 21:30
R. R. Rajalaxmi,K. Sruthi,S. Santhoshkumarelligence and introduce the four major areas of the field. Then, in subsequent sections we present these areas. They are problem solving and search, knowledge representation and knowledge-based systems, machine learning, and distributed artificial intelligence. The chapter follows with a discussion 作者: 故意釣到白楊 時間: 2025-3-27 04:14 作者: 預(yù)測 時間: 2025-3-27 07:41
Low-Power NoC Using Optimum Adaptationommender systems. First, a brief overview of the systems is presented followed by details on some of the most commonly applied models used for these systems and how these systems are evaluated. The chapter ends with an overview of some of the application areas in which information retrieval and reco作者: vocation 時間: 2025-3-27 11:51
Jai Narayan Tripathi,Jayanta Mukherjeeg in a business, and to make recommendations as to what should change or happen next. Most organizations attempt to leverage analytics to drive decision making. However, few of them are able to access the full value of what business intelligence has to offer. In this chapter, we will cover the most 作者: 富足女人 時間: 2025-3-27 14:04
https://doi.org/10.1007/978-3-662-06373-6provide computational definitions of what privacy means, and of how to evaluate the privacy level of a data set. Then, we give a summary of data protection mechanisms. We provide a classification of these methods according to three dimensions: whose privacy is being sought, the computations to be do作者: PIZZA 時間: 2025-3-27 18:22
Advanced Information Processingistics, machine learning, etc. to turn vast amounts of data into new insights and knowledge. However, the sole use of automatic data science techniques for large amounts of complex data limits the human user’s possibilities in the discovery process, since the user is estranged from the process of da作者: 使尷尬 時間: 2025-3-27 23:59 作者: 烤架 時間: 2025-3-28 03:38 作者: 鋼盔 時間: 2025-3-28 07:56 作者: 未完成 時間: 2025-3-28 11:01
Information Fusionor heterogeneous sources into a representation that supports a human user’s situation awareness for the purposes of decision making. Information fusion is not an end in itself but studies, adapts, applies and combines methods, techniques and algorithms provided by many other research areas, such as 作者: 生氣地 時間: 2025-3-28 16:21 作者: 憤怒歷史 時間: 2025-3-28 22:04 作者: HALO 時間: 2025-3-29 01:01
Data Privacyprovide computational definitions of what privacy means, and of how to evaluate the privacy level of a data set. Then, we give a summary of data protection mechanisms. We provide a classification of these methods according to three dimensions: whose privacy is being sought, the computations to be do作者: 陶器 時間: 2025-3-29 03:31
Visual Data Analysisistics, machine learning, etc. to turn vast amounts of data into new insights and knowledge. However, the sole use of automatic data science techniques for large amounts of complex data limits the human user’s possibilities in the discovery process, since the user is estranged from the process of da
