Author: Publisher:
ISBN:
Category : Highway research
Languages : en
Pages : 312
Book Description
Public Roads
Author: United States Army Human Factors Research & Development
Author: United States Department of the ArmyPublisher:
ISBN:
Category :
Languages : en
Pages : 1304
Book Description
Astronautics and Space Exploration
Author: United States. Congress. House. Select Committee on Astronautics and Space ExplorationPublisher:
ISBN:
Category : Astronautics
Languages : en
Pages : 1570
Book Description
Army R, D & A.
Author: The Small Business Innovation Research Program
Author: United States. Environmental Protection Agency. Office of Exploratory Research. Small Business Innovation Research ProgramPublisher: DIANE Publishing
ISBN: 9781568064277
Category : Business & Economics
Languages : en
Pages : 320
Book Description
The SBIR Program today is widely regarded as an effective facilitator of small business innovation, as a driving force behind technological advance, and as a mechanism through which the Federal Government can multiply the return on its $70-billion-per-year investment in R&D. Studies indicate that small business procude about twice as many innovations per employee as large companies. Roughly one in four SBIR projects result in the development and sale of a new commercial product -- a very high ratio in the risky R&D business. Graphs and charts.
Image Understanding Workshop
Author: United States. Defense Advanced Research Projects Agency. Information Science and Technology OfficePublisher:
ISBN:
Category : Image processing
Languages : en
Pages : 534
Book Description
"The main theme of the 1988 workshop, the 18th in this DARPA sponsored series of meetings on Image Understanding and Computer Vision, is to cover new vision techniques in prototype vision systems for manufacturing, navigation, cartography, and photointerpretation." P. v.
United States Army Human Factors Research & Development ... Annual Conference
Author: Papers Commissioned for a Workshop on the Federal Role in Research and Development
Author: Sponsored by the Committee on Science, Engineering, and Public Policy and the Academy Industry ProgramPublisher: National Academies Press
ISBN:
Category : Political Science
Languages : en
Pages : 386
Book Description
Data Mining and Exploration
Author: Chong Ho Alex YuPublisher: CRC Press
ISBN: 1000777790
Category : Business & Economics
Languages : en
Pages : 290
Book Description
This book introduces both conceptual and procedural aspects of cutting-edge data science methods, such as dynamic data visualization, artificial neural networks, ensemble methods, and text mining. There are at least two unique elements that can set the book apart from its rivals. First, most students in social sciences, engineering, and business took at least one class in introductory statistics before learning data science. However, usually these courses do not discuss the similarities and differences between traditional statistics and modern data science; as a result learners are disoriented by this seemingly drastic paradigm shift. In reaction, some traditionalists reject data science altogether while some beginning data analysts employ data mining tools as a “black box”, without a comprehensive view of the foundational differences between traditional and modern methods (e.g., dichotomous thinking vs. pattern recognition, confirmation vs. exploration, single method vs. triangulation, single sample vs. cross-validation etc.). This book delineates the transition between classical methods and data science (e.g. from p value to Log Worth, from resampling to ensemble methods, from content analysis to text mining etc.). Second, this book aims to widen the learner's horizon by covering a plethora of software tools. When a technician has a hammer, every problem seems to be a nail. By the same token, many textbooks focus on a single software package only, and consequently the learner tends to fit the problem with the tool, but not the other way around. To rectify the situation, a competent analyst should be equipped with a tool set, rather than a single tool. For example, when the analyst works with crucial data in a highly regulated industry, such as pharmaceutical and banking, commercial software modules (e.g., SAS) are indispensable. For a mid-size and small company, open-source packages such as Python would come in handy. If the research goal is to create an executive summary quickly, the logical choice is rapid model comparison. If the analyst would like to explore the data by asking what-if questions, then dynamic graphing in JMP Pro is a better option. This book uses concrete examples to explain the pros and cons of various software applications.
Author: