標(biāo)題: Titlebook: An Introduction to Data; Everything You Need Francesco Corea Book 2019 Springer Nature Switzerland AG 2019 Artificial Intelligence.Machine [打印本頁] 作者: Deleterious 時(shí)間: 2025-3-21 17:35
書目名稱An Introduction to Data影響因子(影響力)
書目名稱An Introduction to Data影響因子(影響力)學(xué)科排名
書目名稱An Introduction to Data網(wǎng)絡(luò)公開度
書目名稱An Introduction to Data網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱An Introduction to Data被引頻次
書目名稱An Introduction to Data被引頻次學(xué)科排名
書目名稱An Introduction to Data年度引用
書目名稱An Introduction to Data年度引用學(xué)科排名
書目名稱An Introduction to Data讀者反饋
書目名稱An Introduction to Data讀者反饋學(xué)科排名
作者: left-ventricle 時(shí)間: 2025-3-21 21:05 作者: relieve 時(shí)間: 2025-3-22 03:06 作者: Affirm 時(shí)間: 2025-3-22 06:25 作者: PAC 時(shí)間: 2025-3-22 09:25 作者: strain 時(shí)間: 2025-3-22 14:57 作者: DIS 時(shí)間: 2025-3-22 20:56 作者: dilute 時(shí)間: 2025-3-23 01:05
Springer Nature Switzerland AG 2019作者: arterioles 時(shí)間: 2025-3-23 04:44 作者: Kindle 時(shí)間: 2025-3-23 05:51 作者: LARK 時(shí)間: 2025-3-23 10:13
AI Business Models,ts unique features that are sometimes not intuitive to deal with. These features may be noticed in the business structure (“the DeepMind strategy”) as well as in the product nature itself (“the 37–78 paradigm”). In this chapter, we also present a very useful tool to classify AI companies, i.e., the AI matrix.作者: Blood-Clot 時(shí)間: 2025-3-23 15:11 作者: cardiovascular 時(shí)間: 2025-3-23 20:18 作者: separate 時(shí)間: 2025-3-24 00:34 作者: 生來 時(shí)間: 2025-3-24 04:13
Versuch einer Konstruktion über K, hinausactors of the new AI revolution, meaning algorithms and data, knowledge of the brain structure, and greater computational power. The goal of the chapter is to give an overview of the state of art of these three blocks in order to understand what AI is going toward.作者: Fracture 時(shí)間: 2025-3-24 07:33 作者: 不連貫 時(shí)間: 2025-3-24 14:09 作者: 有偏見 時(shí)間: 2025-3-24 18:11 作者: Glutinous 時(shí)間: 2025-3-24 19:43 作者: DOLT 時(shí)間: 2025-3-25 02:27
Die Soziologie von Norbert EliasThis chapter briefly provides an introduction to big data as well as deals with some of the most common misconceptions in the field.作者: 柔軟 時(shí)間: 2025-3-25 07:19 作者: orthopedist 時(shí)間: 2025-3-25 07:43
Kritik der Methode und der SoziallehrenThis chapter provides a sketch of a new AI technology landscape that helps classifying different technologies according to several parameters.作者: insightful 時(shí)間: 2025-3-25 13:19 作者: 平淡而無味 時(shí)間: 2025-3-25 18:55
https://doi.org/10.1007/978-3-663-04387-4This is likely the most technical chapter of the book, although it is explained in a comprehensible language. It deals with the intersection between AI and blockchain and how they are affecting each other. A primer on blockchain is provided, as well as a full map of players working with those two exponential technologies.作者: crutch 時(shí)間: 2025-3-25 21:24
https://doi.org/10.1007/978-3-7091-9928-2This chapter explains and identifies the emergence of new relevant figures in the data ecosystem space, namely the chief data officer, the chief AI officer, and the chief robotics officer. It will show the differences between them and highlight where they are needed and how they can be used efficiently.作者: SIT 時(shí)間: 2025-3-26 04:03
,Einsteins Allgemeine Relativit?tstheorie,This chapter deals with the matter of patenting in the AI field. More in details, it shows why companies patent inventions and how it is different in the AI domain; the advantages and drawbacks of patenting; and finally, an overview of the patents landscape.作者: 清楚 時(shí)間: 2025-3-26 08:01
,Die serologische Spezifizit?t der Proteine,This chapter shows how AI can be used in Venture Capital. It exhibits what variables have an impact on the probability of a company to succeed or to raise funds, and it divides those variables into three clusters: personal and team characteristics, financial considerations, and business features.作者: 分離 時(shí)間: 2025-3-26 08:43 作者: 造反,叛亂 時(shí)間: 2025-3-26 14:56
Introduction to Data,This chapter briefly provides an introduction to big data as well as deals with some of the most common misconceptions in the field.作者: Cpap155 時(shí)間: 2025-3-26 19:52
Introduction to Artificial Intelligence,In this chapter, we are going to define what AI is and what is not, as well as when it was born and how it changed from the fifties up today. More in details, we are going to even specify the exact event that triggered the current AI wave and we are going to discuss the importance of artificial engines in our world today.作者: 小爭(zhēng)吵 時(shí)間: 2025-3-26 22:09
AI Knowledge Map: How to Classify AI Technologies,This chapter provides a sketch of a new AI technology landscape that helps classifying different technologies according to several parameters.作者: obsession 時(shí)間: 2025-3-27 04:57 作者: 瑪瑙 時(shí)間: 2025-3-27 07:02
AI and Blockchain,This is likely the most technical chapter of the book, although it is explained in a comprehensible language. It deals with the intersection between AI and blockchain and how they are affecting each other. A primer on blockchain is provided, as well as a full map of players working with those two exponential technologies.作者: BYRE 時(shí)間: 2025-3-27 12:27
New Roles in AI,This chapter explains and identifies the emergence of new relevant figures in the data ecosystem space, namely the chief data officer, the chief AI officer, and the chief robotics officer. It will show the differences between them and highlight where they are needed and how they can be used efficiently.作者: vector 時(shí)間: 2025-3-27 16:24
AI and Intellectual Property,This chapter deals with the matter of patenting in the AI field. More in details, it shows why companies patent inventions and how it is different in the AI domain; the advantages and drawbacks of patenting; and finally, an overview of the patents landscape.作者: 加強(qiáng)防衛(wèi) 時(shí)間: 2025-3-27 21:25
AI and Venture Capital,This chapter shows how AI can be used in Venture Capital. It exhibits what variables have an impact on the probability of a company to succeed or to raise funds, and it divides those variables into three clusters: personal and team characteristics, financial considerations, and business features.作者: Osteoarthritis 時(shí)間: 2025-3-28 00:04
A Guide to AI Accelerators and Incubators,This chapter discusses the definition, implications, and benefits of being accelerated and/or incubated into a pre-determined program. The chapter also includes a list of some known programs specifically targeting AI companies.作者: 艦旗 時(shí)間: 2025-3-28 05:07
Book 2019ractitioners who want to redefine the way they think about artificial intelligence (AI) and other exponential technologies. Accordingly the book, which is structured as a collection of largely self-contained articles, includes both general strategic reflections and detailed sector-specific informati作者: patella 時(shí)間: 2025-3-28 09:36
Book 2019nd what new roles there are in the field; how to use AI in specific industries such as finance or insurance; how AI interacts with other technologies such as blockchain; and, in closing, a review of the use of AI in venture capital, as well as a snapshot of acceleration programs for AI companies. ? ..?.作者: Graves’-disease 時(shí)間: 2025-3-28 14:01
2197-6503 rture for executives who want to keep pace with the breakthr.This book reflects the author’s years of hands-on experience as an academic and practitioner. It is primarily intended for executives, managers and practitioners who want to redefine the way they think about artificial intelligence (AI) an作者: penance 時(shí)間: 2025-3-28 17:00
https://doi.org/10.1007/978-3-86226-378-3to help firms to understand what to look for and how to use resources in the best way, a personality test has been implemented and different types of data scientists have been classified using this test.作者: AND 時(shí)間: 2025-3-28 19:47
https://doi.org/10.1007/978-3-658-00713-3 common ethics problems and data biases and propose some food for thoughts rather than solutions. It will also talk about the control problem, the accounting and explainability issues, and the development of a safe AI.作者: 難解 時(shí)間: 2025-3-29 01:43 作者: Hyperopia 時(shí)間: 2025-3-29 07:08 作者: 價(jià)值在貶值 時(shí)間: 2025-3-29 09:17 作者: Forage飼料 時(shí)間: 2025-3-29 11:51
Advancements in the Field,actors of the new AI revolution, meaning algorithms and data, knowledge of the brain structure, and greater computational power. The goal of the chapter is to give an overview of the state of art of these three blocks in order to understand what AI is going toward.作者: bisphosphonate 時(shí)間: 2025-3-29 19:19
AI Business Models,ts unique features that are sometimes not intuitive to deal with. These features may be noticed in the business structure (“the DeepMind strategy”) as well as in the product nature itself (“the 37–78 paradigm”). In this chapter, we also present a very useful tool to classify AI companies, i.e., the 作者: Ingredient 時(shí)間: 2025-3-29 21:51 作者: Pruritus 時(shí)間: 2025-3-30 03:54
AI and Financial Services, ways, ranging from financial wellness to financial security, capital markets, and even money transfer. But above all AI is forcing the financial services players to innovate and to look for alternative solutions to old problems.作者: critic 時(shí)間: 2025-3-30 04:21 作者: 燈絲 時(shí)間: 2025-3-30 08:46 作者: 機(jī)密 時(shí)間: 2025-3-30 15:17 作者: 變化 時(shí)間: 2025-3-30 17:54 作者: Delirium 時(shí)間: 2025-3-30 23:54 作者: 膽小懦夫 時(shí)間: 2025-3-31 04:57 作者: LEVER 時(shí)間: 2025-3-31 09:02
Luc Jaulin,Michel Kieffer,éric Walter production rules and production-refinement rules. Correspondingly the Knowledge Interpretation module is also divided into two parts: 1). The Task Knowledge Interpretation module. 2). The Domain Inference Method Interpretation module.作者: 通知 時(shí)間: 2025-3-31 10:05 作者: Glucose 時(shí)間: 2025-3-31 15:09
