Oglivie's [sic] Annotated Vehicle Code (revised) of the State of California
Author : California
Publisher :
Page : 1304 pages
File Size : 23,47 MB
Release : 1952
Category : Automobiles
ISBN :
Author : California
Publisher :
Page : 1304 pages
File Size : 23,47 MB
Release : 1952
Category : Automobiles
ISBN :
Author : California
Publisher :
Page : 1100 pages
File Size : 41,58 MB
Release : 1951
Category : Automobiles
ISBN :
Author : California
Publisher :
Page : 724 pages
File Size : 48,18 MB
Release : 1946
Category : Automobiles
ISBN :
Author : California
Publisher :
Page : 400 pages
File Size : 15,46 MB
Release : 1947
Category : Automobiles
ISBN :
Author : California
Publisher :
Page : 627 pages
File Size : 32,19 MB
Release : 1957
Category : Automobiles
ISBN :
Author : California
Publisher :
Page : 570 pages
File Size : 41,34 MB
Release : 1955
Category : Automobiles
ISBN :
Author : Library of Congress
Publisher :
Page : 712 pages
File Size : 20,36 MB
Release : 1970
Category : Catalogs, Union
ISBN :
Author : Kimberly A. Neuendorf
Publisher : SAGE
Page : 457 pages
File Size : 48,10 MB
Release : 2017
Category : Language Arts & Disciplines
ISBN : 1412979471
Content analysis is a complex research methodology. This book provides an accessible text for upper level undergraduates and graduate students, comprising step-by-step instructions and practical advice.
Author :
Publisher :
Page : 28 pages
File Size : 14,82 MB
Release : 1970
Category : Industrial accidents
ISBN :
Author : Christopher D. Manning
Publisher : Cambridge University Press
Page : pages
File Size : 27,36 MB
Release : 2008-07-07
Category : Computers
ISBN : 1139472100
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.