Google Domains的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列免費下載的地點或者是各式教學

Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning Using Python

為了解決Google Domains的問題，作者Kulkarni, Akshay,Shivananda, Adarsha 這樣論述：

Akshay Kulkarni is an AI and machine learning evangelist and thought leader. He has consulted with Fortune 500 and global enterprises to drive AI and data science-led strategic transformations. He has a rich experience of building and scaling AI and machine learning businesses and creating significa

nt client impact. Akshay is currently Manager-Data Science & AI at Publicis Sapient where he is part of strategy and transformation interventions through AI. He manages high-priority growth initiatives around data science, works on AI engagements, and applies state-of-the-art techniques. Akshay is a

Google Developers Expert-Machine Learning, and is a published author of books on NLP and deep learning. He is a regular speaker at major AI and data science conferences, including Strata, O’Reilly AI Conf, and GIDS. In 2019, he was featured as one of the Top ＂40 under 40 Data Scientists＂ in India.

In his spare time, he enjoys reading, writing, coding, and helping aspiring data scientists. He lives in Bangalore with his family.Adarsha Shivananda is Lead Data Scientist at Indegene’s Product and Technology team where he leads a group of analysts who enable predictive analytics and AI features fo

r all of their healthcare software products. They handle multi-channel activities for pharma products and solve real-time problems encountered by pharma sales reps. Adarsha aims to build a pool of exceptional data scientists within the organization and to solve greater health care problems through t

raining programs and staying ahead of the curve. His core expertise involves machine learning, deep learning, recommendation systems, and statistics. Adarsha has worked on data science projects across multiple domains using different technologies and methodologies. Previously, he was part of Tredenc

e Analytics and IQVIA. He lives in Bangalore and loves to read and teach data science.

Google Domains進入發燒排行的影片

組織公民行為研究之文獻計量分析

為了解決Google Domains的問題，作者蔡明施 這樣論述：

為探究組織公民行為研究之文獻發展趨勢、知識結構及新興議題，本研究以文獻計量學分析為方法，分別使用Scopus索摘引文資料庫與臺灣人文及社會科學引文索引資料庫（TCI-HSS）作為文獻來源，進行文獻探勘，以「組織公民行為」（Organizational Citizenship Behavior）、「角色外行為」(extra-role behavior)搭配教育（education*)、學校(school)或教師(teacher)為主題詞檢索，限縮於「期刊文獻」（Article）及「回顧型文獻」（Review）範疇，年份不限，最終檢索結果分別納入Scopus（2,666篇）為1983年至2021

年間發表及TCI-HSS（77篇）為2001年至2020年間發表之文獻資料。本研究以VOSviewer及CiteSpace書目軟體作為分析工具，利用聚類分析技術（Cluster analysis）和繪圖（Mapping）功能，藉由國家、機構、作者引文分析及作者、文獻、期刊的共被引分析、關鍵詞共現分析，將文獻資料可視化，並繪製科學知識圖譜，對組織公民行為研究的整體發展脈絡進行梳理，分析其研究熱點變化趨勢，推測其前沿動態。研究結果發現，組織公民行為研究，以美國、中國大陸及英國為研究重鎮，具有強大的影響力，以色列海法大學、美國印第安那大學布隆明頓分校及美國密西根州立大學為重要的研究機構。「Journ

al of Applied Psychology」為組織公民行為研究之指標性期刊，深具權威性。高被引文獻作者為Dennis W Organ、Philip Michael Podsakoff、Scott Bradley MacKenzie、Robert H. Moorman及Linn Van Dyne等人；文獻共被引分析之2個有效聚類「組織公民行為之概念定義、前因後果、構面分類與量表發展及研究方法」及「組織公民行為的構面再定義、社會交換理論完整回顧、結構方程模型的評估及提出對行為研究中常見的方法偏差及建議補救方法」為組織公民行為研究之知識基礎。高頻次關鍵字「工作滿意度」、「組織承諾」、「領導者與

成員交換理論」、「轉型領導」、「組織公平」及關鍵字共現分析五個有效聚類「組織公民行為」、「心理賦權」、「組織特性」、「離職傾向」及「員工態度」為研究熱點。Koopman等人（2016）的文獻自2016年至今仍持續突現，文中探討組織公民行為之光明面和黑暗面：對幫助他人的好處和代價的日常調查的議題，為研究前沿之一；「量化」、「企業社會責任」、「工作敬業」、「環境導向組織公民行為」、「心理資本」及「敬業心」等六個高突現關鍵詞持續突現，亦為研究前沿之一。本研究綜合研究結果，提出具體建議，作為教育人員提昇學校行政管理相關知能及未來研究之參考。

Predictive Maintenance in Smart Factories: Architectures, Methodologies, and Use-Cases

為了解決Google Domains的問題，作者 這樣論述：

Tania Cerquitelli has been Associate Professor at the Department of Control and Computer Engineering of the Politecnico di Torino, Italy, since March 2018. Her research activities have been mainly devoted to fostering and sharing research and innovation on automated data science and machine learning

solutions, explainable artificial intelligence strategies, and interpretable predictive and descriptive modeling techniques. Tania has designed and developed novel, scalable and general-purpose algorithms to extract new forms of knowledge patterns in different industrial settings, from robotics ind

ustry to energy-related applications. She has been serving on the program committee of some major international conferences (e.g., KDD since 2018; ECML-PKDD since 2017, ICDM since 2020) on data mining and machine learning research area. Tania is a co-editor of a Springer book titled ＂Transparent Dat

a Mining for Big and Small Data＂ with Dr Daniele Quercia and Prof. Frank Pasquale. Tania has published more than 100 scientific publications and has served as referee for many international journals. Tania has been a member of the editorial board of the Future Generation Computer Systems journal (El

sevier) and the Computer Networks journal (Elsevier) since March 2020, and a member of the editorial board of the Knowledge and Information Systems journal (Springer) since November 2020. Tania has been involved in many European and Italian research projects addressing different research issues rela

ted to machine learning and data analytics. Tania has been Professor of courses in Introduction to Databases and Business Intelligence for Big Data courses at the Politecnico di Torino since 2011. She got the master’s degree with honours in Computer Engineering (in 2003) from both Politecnico di Tor

ino, Italy, and the Universidad De Las Américas Puebla, Mexico, and the Ph.D. degree (in 2007) from the Politecnico di Torino, Italy.Nikolaos Nikolakis has been working as a Research Engineer at the Laboratory for Manufacturing Systems & Automation in the Mechanical Engineering Department of the Uni

versity of Patras (UPAT) in Greece, since 2014. His primary research activities focus on design, planning and control of production systems. He participated in various EU-funded research projects, such as Know4Car, INTERACT, SYMBIO-TIC, SERENA, Sense&Mine4.0, RAMEN and MAS4AI. He has served as a Rev

iewer in several journals (RCIM, IET, JMS, IJCIM). He holds a Diploma (M.Sc. equivalent) in Electrical & Computer Engineering from UPAT (2014), a Ph.D. in Cyber-Physical Production Systems from UPAT (2020) and an MBA from Hellenic Open University (2020).Niamh O’Mahony is Principal Research Scientist

with Dell EMC Research Europe, based in the Centre of Excellence in Ireland. Her primary research interests include building solutions that apply machine learning and AI to domains like security, networking and industrial processes and leveraging edge-to-cloud infrastructure to host those solutions

. She completed a Ph.D. in Verification Strategies for CDMA Acquisition in 2010, under joint supervision from University College Cork, Ireland, and the University of Calgary, Canada. Prior to joining Dell EMC, Niamh worked at Universidad Carlos III de Madrid as Postdoctoral Researcher, focusing on h

ealth-related applications of inertial sensors, and led the team responsible for wearable sensor data processing algorithms and applications at Shimmer, Dublin, Ireland. She has participated in various EU-funded and national research projects, such as TERAPOD, SERENA, CUTLER (H2020), SOLAS, SPARKS (

FP7), uService (ITEA 2) and COMONSENS (CONSOLIDER-INGENIO 2010).Enrico Macii was born in Torino, Italy, on February 7, 1966. He is Full Professor of Computer Engineering at Politecnico di Torino. Prior to that, he was Associate Professor (from 1998 to 2001) and Assistant Professor (from 1993 to 1998

) at the same institution. From 1991 to 1997, he was also Adjunct Faculty at the University of Colorado at Boulder. He holds a Laurea Degree in Electrical Engineering from Politecnico di Torino (1990), a Laurea Degree in Computer Science from Università di Torino (1991) and a Ph.D. degree in Compute

r Engineering from Politecnico di Torino (1995). From 2009 to 2016, he was Vice Rector for Research at Politecnico di Torino; he was also Vice Rector for European Affairs (2007-2009), Vice Rector for Technology Transfer (2009-2015) and Rector’s Delegate for International Affairs (2012-2015). His res

earch interests are in the design of electronic digital circuits and systems, with particular emphasis on low power consumption aspects. In the last decade, he has extended his research activities to areas such as energy efficiency in buildings, districts and cities, sustainable urban mobility, and

clean and intelligent manufacturing. In the fields above, he has authored over 550 scientific publications (H-index = 44, G-index = 82, total citations: 9109, most cited paper: 941 citations--Source: Google Scholar, April 29, 2019).Massimo Ippolito currently holds the position of Head of Digital Inn

ovation & Infrastructures at Comau, where he has been working since 2012. He is also Member of the Board of Directors of the European Factories of the Future Research Association (EFFRA) from 2015. Ippolito holds a Ph.D. in ＂Industrial Production Engineering＂ from Parma University and a M.Sc. in ＂Co

mputer Sciences＂ at the University of Milan. He has extensive experience in methodologies and tools for product and production system design. Since 2000, he has been involved in various international research projects in the product design and manufacturing area, ranging from methodologies for produ

ct design for manufacturing to process design for energy efficiency. From 2007 to 2012, within Centro Ricerche Fiat, he was responsible of an innovation research program related to manufacturing topics.Dr. Sotiris Makris, owns a Diploma (Degree Master of Science) in Mechanical Engineering and Aerona

utics from the University of Patras, Greece and a PhD in Engineering of the Department of Mechanical Engineering and Aeronautics, University of Patras. He worked as a Research Associate for the Laboratory for Manufacturing Systems and Automation, in the Department of Mechanical Engineering and Aeron

autics from 1997 to present. His main research interests are focused on the field of Robots, Automation and Virtual reality in Manufacturing. He is an Associate Member of the International Academy for Production Research (CIRP), a member of IFAC, a member of the European Manufacturing and Innovation

Research Association, a member of the Institute of Electrical and Electronics Engineers (IEEE) and a member of the Technical Chamber of Greece and of the Technical Chamber of Mechanical and Electrical Engineers. He has been serving as the Vice-chair of the CIRP Research affiliates from 2008 to 2011

. He is member of the European Factories of the Future Research association (EFFRA) and the European Partnership for Robotics (SPARC).He has been involved in more than fifty RTD projects funded by the EC, acting as Senior Researcher, Project and Technical Manager in major EC funded projects in the t

opic of reconfigurable and flexible manufacturing systems. He has been an Associate editor for three (3) International Scientific Journals and a reviewer for more than thirty (30) International Journals and a large number of International Conferences. He has published more than 140 articles. He has

given a number of invited talks to the Industry and several scientific presentations and invited talks in International Workshops organised by the European Commission.

YouTuber如何影響觀看者資訊採用意願？－多元理論觀點之模型

為了解決Google Domains的問題，作者林佩儀 這樣論述：

本研究整合多元理論探討YouTuber與觀看者之間的互動關係，具體而言，以「推敲可能性模型（Elaboration Likelihood Model, ELM）」、「社會影響理論（Social Influence Model）」與「社會認同理論（Social Identity Theory, SIT）」，建構YouTuber如何影響觀看者的資訊採用決策模型。本研究採用非隨機準實驗設計法（Quasi-Experiment Method）進行多元實證資料蒐集，以偏最小平方結構方程模型進行分析與假說驗證。透過620位曾使用社群媒體或YouTube的樣本分析結果顯示：YouTuber的「可信賴性（T

rustworthiness）」、「專業性（Expertise）」與「相似性（Similarity）」，內容的「創新性（Innovativeness）」、「豐富性（Richness）」與「關鍵多數（Critical Mass）」會透過「來源吸引力（Source Attractiveness）」與「資訊可信度（Information Credibility）」中介機制進一步影響觀看者的資訊採用意願（Adoption Intention），涉及了「順從（Compliance）－關鍵多數」、「認同（Identification）－來源吸引力」與「內化（Internalization）－資訊可信度」三

個社會影響過程。此外，本研究深化過去學理，發現YouTuber與觀看者間的「相似性」及內容的「創新性」，對於「來源吸引力」與「資訊可信度」的影響關係呈現非線性的現象。最後，本研究也延伸過去資訊採用決策的學理，發現YouTuber的「性別」與「年齡」會促進「YouTuber屬性特徵」對「來源吸引力」與「資訊可信度」之影響，觀看者的「性別」會促進「來源吸引力」與對「資訊採用意願」之影響；除了深化過去行銷傳播與社群媒體的文獻之外，也提供行銷經理人擬定行銷推廣方案之具體建議。