introduction big data technology (38 résultats)

paperback. Etat : New. Paperback.Pub Date:2021-09-01 Pages:107 Language:Chinese Publisher:Machinery Industry Press is based on the concept of seeing the big from the small. and practice first. in the context of industrial big data. this book expounds the data The past life and present life and connotation. extension. combs the various stages and typical frameworks of data processing in simple terms. including big data collection. big data preprocessing. big data storage. big data analysis and visualization. etc. a.

paperback. Etat : New. Paperback.Pub Date:2021-09-01 Pages:176 Language:Chinese Publisher:Tsinghua University Press Introduction to Big Data (Big Data Technology and Artificial Intelligence Application Series) Language. rich examples and concise diagrams. the basic concepts of big data. data structure of big data. characteristics of big data. key technologies of big data. computing mode of big data. collection and storage of big data. big data Management. analysis and processing of big data. visualization of big da.

paperback. Etat : New. Language:Chinese.Paperback. Pub Date: 2024-05 Pages: 268 Publisher: Tsinghua University Press Big data processing technology is the core of big data technology. It mainly relies on the hadoop ecosystem to realize the complete application process of data collection. data storage. data processing. statistical analysis. data mining. model prediction. and result presentation. Introduction to Big Data Processing Technology (Micro Course Edition) first shows the overall picture of big data engineer.

Softcover. Etat : gut. Auflage: 8. Auflage. (1. November 2012). Volkswirtschaftslehre Makroökonomie Makroökonomik VWL Wirtschaftswissenschaften BWL Betriebswirtschaftslehre Market leading text by a wide margin. Highly readable, respected authorship. Concise and streamlined but retains middle of the pack rigor. First book to cover growth early, but recently has added more on short run models. Plethora of case studies - 4 to 5 per chapter. N. GREGORY MANKIW is a Professor of Economics at Harvard University, USA. He began his study of economics at Princeton University, where he received an AB in 1980. After earning a PhD in Economics from MIT, he began teaching at Harvard in 1985 and was promoted to full professor in 1987. Mankiw is a regular participant in academic and policy debates. His research ranges across macroeconomics and includes work on price adjustment, consumer behaviour, financial markets, monetary and fiscal policy, and economic growth. In addition to his duties at Harvard, he has been a research associate of the National Bureau of Economic Research, a member of the Brookings Panel on Economic Activity, and an adviser to the Federal Reserve Bank of Boston and the Congressional Budget Office. From 2003 to 2005 he was chairman of the President's Council of Economic Advisers. PART I: INTRODUCTION The Science of Macroeconomics Introductory Discussion on Current Financial Crisis Edmund Phelps Added to FYI on Nobel Macroeconomists The Data of Macroeconomics Updated Data on GDP Updated Description of National Income Components Updated Data on the Labor Force PART II: CLASSICAL THEORY: THE ECONOMY IN THE LONG RUN National Income: Where it Comes from and Where it Goes New Box: 'The Financial System: Markets, Intermediaries, and the Crisis of 2008' Money and Inflation New Case Study about the Recent Hyperinflation in Zimbabwe The Open Economy Updated Case Study 'The US Trade Deficit' Updated Data for Case Study 'Big Mac Around the World' Unemployment Updated Case Study 'The Characteristics of Minimum-Wage Workers' Updated Data on Unemployment PART III: GROWTH THEORY: THE ECONOMY IN THE VERY LONG RUN Economic Growth I: Capital Accumulation and Population Growth Economic Growth II: Technology, Empirics, and Policy PART IV: BUSINESS CYCLE THEORY: THE ECONOMY IN THE SHORT RUN Introduction to Economic Fluctuations New Case Study called 'A Monetary Lesson from French History' New FYI box on the Monetary Theory of David Hume Aggregate Demand I: Building the IS-LM Model Aggregate Demand II: Applying the IS-LM Model New Case Study called 'The Financial Crisis and Economic Downturn of 2008' The Open Economy Revisited: The Mundell-Fleming Model and the Exchange-Rate Regime Aggregate Supply and the Short-run Tradeoff Between Inflation and Unemployment The Appendix Includes a New Schematic Diagram Illustrating How Various Macroeconomic Models are Related PART V: MACROECONOMIC POLICY DEBATES New Chapter: A Dynamic Model of Aggregate Demand and Aggregate Supply Stabilization Policy Government Debt and Budget Deficits PART VI: MORE ON THE MICROECONOMICS BEHIND MACROECONOMICS Consumption Investment New Discussion of the Recent Boom and Bust in the Housing Market Money Supply, Money Demand, and the Banking System New Section on Bank Capital Requirements Epilogue: What We Know, What We Don't N. Gregory Mankiws Einführung in die Makroökonomik wird an Hunderten von Hochschulen weltweit in Lehrveranstaltungen eingesetzt. Die 4. Auflage des Werkes erscheint im Schäffer-Poeschel Verlag, nachdem die Vorauflagen erfolgreich bei UTB veröffentlicht wurden. Die Neuauflage wird an deutsche Verhältnisse angepasst, sorgfältig aktualisiert und um einige Abschnitte erweitert. So werden beispielsweise die neuen Wachstumstheorien und die Wirkungen der Staatsverschuldung ausführlich dargestellt. Wichtige makroökonomische Entwicklungen der letzten Jahre, wie die Asienkrise, der Euro und die Rezession in Japan, werden eingearbeitet und umfassend analysiert. Über den Autor: N. Gregory Mankiw ist Professor für Wirtschaftswissenschaften an der Harvard University. Er ist Autor erfolgreicher Lehrbücher der Volkswirtschaftslehre. In englischer Sprache. 623 pages. 25,2 x 20 x 2,4 cm.

paperback. Etat : New. Language:Chinese.Paperback. Pub Date: 2021-12-01 Pages: 284 Publisher: Tsinghua University Press This book combines theory with practice. with a large number of examples. to systematically introduce the basic knowledge of big data. The book is divided into 10 chapters. including an overview of big data. big data. cloud computing and the Internet of Things. big data architecture and Hadoop. data acquisition and preprocessing. big data analysis and big data mining. data storage and HDFS. MapRed.

paperback. Etat : New. Language:Chinese.Paperback.Pub Date:2024-05 Pages:248 Publisher:Science Press:This book is based on the concept. research tasks and technical system of data. and extends the concept. research tasks. technical challenges and technical system of big data. Focusing on the unique characteristics of big data. this book introduces the concept and technology of big data expression. the foundation and extension of big data storage and management technology. the characteristics and new technologies of.

paperback. Etat : New. Paperback.Pub Date:2021-06-01 Pages:328 Publisher:Tsinghua University Press's big data technology condenses multidisciplinary research results and is a multidisciplinary cross-integration technology. With the development of science and technology. big data technology develops more rapidly. its application is more in-depth and extensive. and its huge potential and application value are highlighted. Introduction to Data Science and Big Data Technology is the first professional basic course for .

paperback. Etat : New. Language:Chinese.Paperback. Pub Date: 2024-06 Pages: 205 Publisher: People's Posts and Telecommunications Press This book mainly introduces the knowledge related to big data and artificial intelligence. The book has 10 chapters. including an overview of big data and artificial intelligence. an overview of the big data and artificial intelligence industry. big data technology. artificial intelligence technology. machine learning. reinforcement learning. depth learning and integration learning.

paperback. Etat : New. Language:Chinese.Paperback. Pub Date: 2024-01 Pages: 239 Publisher: Tsinghua University Press As a supporting practical training textbook for Introduction to Big Data (ISBN9787302500704). this book aims to help readers consolidate basic knowledge. restore the real business of the enterprise. and improve practical skills. Starting from the basic programming knowledge required for big data development. this book first explains the commonly used commands in the Linux development environment. The.

Etat : New. In.

paperback. Etat : New. Language:Chinese.Paperback.Pub Date:2023-06 Pages:352 Publisher:Tsinghua University Press Learn how to use R4. write and save R scripts. read in and write out data files. use built-in functions. and understand common statistical methods. This in-depth tutorial introduces the main features of R4. including new color palettes for charts. an enhanced reference counting system that can be used for big data. and new data import settings for text and statistical methods for modeling text-based cate.

paperback. Etat : New. Language:Chinese.Paperback.Pub Date:2024-04 Pages:188 Publisher:Tsinghua University Press This book aims to provide beginners with the basic knowledge of database technology and to guide readers to acquire the basic ability to use database technology through hands-on practice. This book has two main features: First. the content system is relatively complete. covering both classic relational databases and new non-relational databases; second. it uses a relatively vivid example teaching method .

paperback. Etat : New. Paperback. Pub Date: 2024-05 Pages: 207 Publisher: Tsinghua University Press This book focuses on information technology tools and big data analysis. Combining the development of information technology in the current era. it introduces the tools. methods and applications related to big data analysis in detail through 10 representative experiments. On the one hand. this book covers the basic knowledge system of big data analysis. such as basic information technology knowledge. aitudio platform.

paperback. Etat : New. Paperback.Pub Date:2023-12 Pages:254 Language:Chinese Publisher:China Traditional Chinese Medicine Press This textbook starts from different research fields combining AI technology with TCM information analysis. and sorts out the contents of five aspects including TCM intelligent diagnosis. TCM literature data analysis. TCM expert experience analysis. TCM evidence-based system evaluation and intelligent analysis. and acupuncture and massage data analysis. Focusing on the application backgroun.

paperback. Etat : New. Paperback.Pub Date:2021-09-01 Pages:107 Language:Chinese Publisher:Machinery Industry Press is based on the concept of seeing the big from the small. and practice first. in the context of industrial big data. this book expounds the data The past life and present life and connotation. extension. combs the various stages and typical frameworks of data processing in simple terms. including big data collection. big data preprocessing. big data storage. big data analysis and visualization. etc. a.

paperback. Etat : New. Language:Chinese.Paperback.Pub Date:2023-06 Publisher:Science Press.

paperback. Etat : New. Paperback. Pub Date: 2018-12-01 Pages: 217 Language: Chinese Publisher: Central South University Press Introduction to Data Science and Big Data Big Data technologies Higher Education Science and Technology Thirteen Five planning textbook comprehensive explanation of big data the concept of the present status of technologies and applications so that readers related to the large - data. applications and production .

paperback. Etat : New. Paperback. Pub Date: 2017-01-01 Pages: 177 Language: Chinese Publisher: tsinghua university press Book starting from the concept of cloud computing is the most basic. distinguished to lead the readers to comprehend the essence of cloud computing. in the form of combing knowledge context and points. lead the readers to become more proficient.Chapter 1 ~ 3 as the base part of cloud computing. bag.

paperback. Etat : New. Paperback. Pub Date: 2020-09-01 Pages: 208 Publisher: Tsinghua University Press This book mainly introduces the development history. technology and application of artificial intelligence. The content mainly includes knowledge graphs. search technology. intelligent optimization algorithms. machine learning. and artificial intelligence. Neural networks. deep learning. artificial intelligence applications (face recognition. speech recognition. natural language processing. robotics. etc.). artifi.

paperback. Etat : New. Paperback.Pub Date:2021-03-01 Pages:264 Publisher: Renmin University of China Press is a problem-oriented. data-driven interdisciplinary. data science requires researchers to have a solid knowledge reserve. efficient programming ability and broad research horizons .?This book attempts to discuss the origins. connotations. technologies. tools. principles. methods. platforms. products. and applications of data science in the form of an overview to help readers establish a complete knowledge sys.

paperback. Etat : New. Language:Chinese.Paperback. Pub Date: 2021-08-01 Pages: 256 Publisher: Machinery Industry Press This book systematically introduces the basic theories of data science. big data theory. big data technology and related content. and the specific content includes an overview of data science. Big data overview. big data and cloud computing. big data collection and preprocessing. big data storage and processing. big data analysis methods. big data analysis tools. big data visualization. big data se.

paperback. Etat : New. Language:Chinese.Paperback. Pub Date: 2022-10-01 Pages: 192 Publisher: Tsinghua University Press Text mining and information retrieval are hot research directions in the field of artificial intelligence in recent years. The book consists of 8 chapters. including information retrieval overview. information retrieval model. evaluation of information retrieval. text classification technology. text clustering technology. automatic summarization technology. text recommendation technology and web l.

paperback. Etat : New. Paperback.Pub Date:2021-09-01 Pages:176 Language:Chinese Publisher:Tsinghua University Press Introduction to Big Data (Big Data Technology and Artificial Intelligence Application Series) Language. rich examples and concise diagrams. the basic concepts of big data. data structure of big data. characteristics of big data. key technologies of big data. computing mode of big data. collection and storage of big data. big data Management. analysis and processing of big data. visualization of big da.

paperback. Etat : New. Language:Chinese.Introduction to Big Data: The key technology and industry application of best practices.

paperback. Etat : New. Paperback. Pub Date: 2021-02-01 Pages: 234 Language: Chinese Publisher: Peoples Posts and Telecommunications Publishing House This book is an introduction to big data course materials for colleges and universities. It clearly introduces the concepts. theories. terminology and basic technologies related to big data. And use real and coherent business cases and simple diagrams to help readers understand big data technology more clearly.?This book can be used as a teaching material for courses s.

paperback. Etat : New. Paperback. Pub Date: 2022-01-01 Pages: 168 Language: Chinese Publisher: Tsinghua University Press Combining basic theory and case analysis. this book comprehensively introduces the basic knowledge of big data technology to enhance readers' understanding of big data Know. The book has 11 chapters. including an overview of big data. thinking changes in the era of big data. collection and storage of big data. data visualization. technologies supporting big data. commercial big data. people's liv.

paperback. Etat : New. Language:Chinese.Paperback. Pub Date:2016-07-01 Pages:292 Publisher: Tsinghua University press from the beginning of 2015. the domestic big data market continued to maintain a rapid development trend. and in the local government. securities finance company cooperation projects the author found that they were very interested in big data technology. and hope from the big data technology. data collection. management. analysis and.

paperback. Etat : New. Paperback. Pub Date: 2022-08-01 Pages: 203 Language: Chinese Publisher: Mechanical Industry Press Introduction to Big Data Technology 2nd Edition is guided by the application-oriented and actual combat-oriented ideology. closely following the characteristics of enterprise technical personnel training. Avoid complicated theories in the explanation of knowledge points and experiments. so that readers can get started quickly and feel the charm of big data processing. so as to stimulate readers' .

paperback. Etat : New. Language:Chinese.Paperback. Pub Date: 2021-12-01 Pages: 284 Publisher: Tsinghua University Press This book combines theory with practice. with a large number of examples. to systematically introduce the basic knowledge of big data. The book is divided into 10 chapters. including an overview of big data. big data. cloud computing and the Internet of Things. big data architecture and Hadoop. data acquisition and preprocessing. big data analysis and big data mining. data storage and HDFS. MapRed.

paperback. Etat : New. Paperback.Pub Date:2021-06-01 Pages:328 Publisher:Tsinghua University Press's big data technology condenses multidisciplinary research results and is a multidisciplinary cross-integration technology. With the development of science and technology. big data technology develops more rapidly. its application is more in-depth and extensive. and its huge potential and application value are highlighted. Introduction to Data Science and Big Data Technology is the first professional basic course for .