Author: OECD Publisher: OECD Publishing ISBN: 9264239014 Category : Languages : en Pages : 402
Book Description
The internationally recognised methodology for collecting and using R&D statistics, the OECD's Frascati Manual is an essential tool for statisticians and science and innovation policy makers worldwide. It includes definitions of basic concepts, data collection guidelines, and classifications ...
Author: OECD Publisher: OECD Publishing ISBN: 9264304606 Category : Languages : en Pages : 258
Book Description
What is innovation and how should it be measured? Understanding the scale of innovation activities, the characteristics of innovative firms and the internal and systemic factors that can influence innovation is a prerequisite for the pursuit and analysis of policies aimed at fostering innovation.
Author: Publisher: Org. for Economic Cooperation & Development ISBN: Category : Business & Economics Languages : en Pages : 178
Book Description
This publication is the foremost international source of guidelines for the collection and use of data on innovation activities in industry. This third edition has been updated to take account of the progress made in understanding the innovation process, the experience gained from the previous round of innovation surveys, the extension of the field of investigation to other sectors of industry and the latest revisions of international standard classifications.--Publisher's summary.
Author: John D. Bossler Publisher: CRC Press ISBN: 9780748409242 Category : Technology & Engineering Languages : en Pages : 672
Book Description
Professionals in local and national government and in the private sector frequently need to draw on Geographical Information Systems (GIS), Remote Sensing (RS) and Global Positioning Systems (GPS), often in an integrated manner. This manual shows a hands-on operator how to work across the range of geospatial science and technology, whether as a user or as a contractor of services employing these technologies, and without either specialist education or substantial experience. The manual covers the fundamentals of each of these topical areas, providing the requisite mathematics, computer science and physics necessary to understand how the technologies work, assuming some elementary background in calculus and physics. It also shows how the technologies can be used together and focuses on their commonalities. A number of applications such as mapping and environmental modeling are presented, and a website accompanies the book.
Author: OECD Publisher: OECD Publishing ISBN: 9264199047 Category : Languages : en Pages : 254
Book Description
The internationally recognized methodology for collecting and using R&D statistics, the Frascati Manual is an essential tool for statisticians worldwide. It includes definitions of basic concepts, data collection guidelines, and classifications for ...
Author: OECD Publisher: OECD Publishing ISBN: 9264056440 Category : Languages : en Pages : 162
Book Description
This manual provides guiding principles for the use of patent data in the context of S&T measurement, and recommendations for the compilation and interpretation of patent indicators in this context.
Author: Steven S. Skiena Publisher: Springer ISBN: 3319554441 Category : Computers Languages : en Pages : 456
Book Description
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)
Author: OECD
Author: OECD
Author: OECD
Author: 
Author: 
Author: Benoit Godin
Author: John D. Bossler
Author: OECD
Author: OECD
Author: Steven S. Skiena