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Author : بدوي، أحمد زكي,Aḥmad Zakī Badawī
Publisher : Unknown
Page : 330 pages
File Size : 47,9 Mb
Release : 1991
Category : English language
ISBN : UOM:39015034042633
Author : Library of Congress. Library of Congress Office, Cairo
Publisher : Unknown
Page : 1276 pages
File Size : 41,7 Mb
Release : 2024-07-02
Category : Arabic imprints
ISBN : WISC:89127000578
Author : أبو الهيجاء، عفيف عبد الرحمن
Publisher : Unknown
Page : 806 pages
File Size : 43,9 Mb
Release : 2005
Category : Arabic language
ISBN : STANFORD:36105128813735
Linguistics; Arabic language; bibliography.
Author : Unesco
Publisher : Unknown
Page : 412 pages
File Size : 52,8 Mb
Release : 1974
Category : Congresses and conventions
ISBN : UCD:31175038019991
Author : ʻAwaḍ Tawfīq
Publisher : Unknown
Page : 252 pages
File Size : 48,9 Mb
Release : 1837
Category : Electronic
ISBN : UIUC:30112030291956
Author : Ken Cherven
Publisher : Packt Pub Limited
Page : 116 pages
File Size : 51,8 Mb
Release : 2013
Category : COMPUTERS
ISBN : 1783280131
A practical, hands-on guide, that provides you with all the tools you need to visualize and analyze your data using network graphs with Gephi.This book is for data analysts who want to intuitively reveal patterns and trends, highlight outliers, and tell stories with their data using Gephi. It is great for anyone looking to explore interactions within network datasets, whether the data comes from social media or elsewhere. It is also a valuable resource for those seeking to learn more about Gephi without being overwhelmed by technical details.
Author : James D. Miller,Rui Miguel Forte
Publisher : Unknown
Page : 0 pages
File Size : 49,7 Mb
Release : 2017
Category : R (Computer program language)
ISBN : OCLC:1341439304
Master the craft of predictive modeling in R by developing strategy, intuition, and a solid foundation in essential concepts About This Book Grasping the major methods of predictive modeling and moving beyond black box thinking to a deeper level of understanding Leveraging the flexibility and modularity of R to experiment with a range of different techniques and data types Packed with practical advice and tips explaining important concepts and best practices to help you understand quickly and easily Who This Book Is For Although budding data scientists, predictive modelers, or quantitative analysts with only basic exposure to R and statistics will find this book to be useful, the experienced data scientist professional wishing to attain master level status , will also find this book extremely valuable.. This book assumes familiarity with the fundamentals of R, such as the main data types, simple functions, and how to move data around. Although no prior experience with machine learning or predictive modeling is required, there are some advanced topics provided that will require more than novice exposure. What You Will Learn Master the steps involved in the predictive modeling process Grow your expertise in using R and its diverse range of packages Learn how to classify predictive models and distinguish which models are suitable for a particular problem Understand steps for tidying data and improving the performing metrics Recognize the assumptions, strengths, and weaknesses of a predictive model Understand how and why each predictive model works in R Select appropriate metrics to assess the performance of different types of predictive model Explore word embedding and recurrent neural networks in R Train models in R that can work on very large datasets In Detail R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions. With its constantly growing community and plethora of packages, R offers the functionality to deal with a truly vast array of problems. The book begins with a dedicated chapter on the language of models and the predictive modeling process. You will understand the learning curve and the process of tidying data. Each subsequent chapter tackles a particular type of model, such as neural networks, and focuses on the three important questions of how the model works, how to use R to train it, and how to measure and assess its performance using real-world datasets. How do y...
Author : Christopher Hill
Publisher : Verso Books
Page : 305 pages
File Size : 52,5 Mb
Release : 2018-09-25
Category : History
ISBN : 9781786636188
The masterful account of Britain’s reshaping as a modern nation In 1530 England was a backward economy. Yet by 1780 she possessed a global empire and was on the verge of becoming the world’s first industrialized power. This book deals with the intervening 250 years, and explains how England acquired this unique position in history. Esteemed historian Christopher Hill recounts a story that begins with the break with Europe before hitting a tumultuous period of war and revolution, combined with a cultural and scientific flowering that made up the early modern period. It was in this era that Britain became home to imperial ambitions and economic innovation, prefiguring what was to come. Hill excavates the conditions and ideas that underpin this age of extraordinary change, and shows how, and why, Britain became the most powerful nation in the world.
Author : Joseph E. Kenney,John P. McGrail
Publisher : Unknown
Page : 144 pages
File Size : 41,5 Mb
Release : 2013-08
Category : Electronic
ISBN : 1258791110
Author : R. D. Misra,M. Ahmed
Publisher : South Asia Books
Page : 440 pages
File Size : 45,8 Mb
Release : 1987
Category : Irrigation farming
ISBN : CORNELL:31924067867923
Author : George F. Sowers,Hari Lal Sally
Publisher : Unknown
Page : 310 pages
File Size : 54,9 Mb
Release : 1962
Category : Barrages
ISBN : UOM:39015004522739
Author : Max Kurtz
Publisher : Unknown
Page : 360 pages
File Size : 42,8 Mb
Release : 1969
Category : Technology & Engineering
ISBN : STANFORD:36105030133461
Author : Bharat Singh,Bharata Siṃha,Shamsher Prakash
Publisher : Unknown
Page : 402 pages
File Size : 40,5 Mb
Release : 1963
Category : Soil mechanics
ISBN : WISC:89038867677
Author : Thomas Ewing French,Charles J. Vierck,Robert Jay Foster
Publisher : McGraw-Hill Science, Engineering & Mathematics
Page : 766 pages
File Size : 45,7 Mb
Release : 1993
Category : Technology & Engineering
ISBN : UCSD:31822028700540
The text is designed for students and teachers in high schools, community colleges, technical institutes, and first-year university level. The text is intended to provide a wide range of topics in the fundamentals of graphics. Full attention is given to modern treatment, up-to-date standards, and ease of organization. The material is organized so as to include more emphasis on newer aspects of the field, such as computer aided drafting (CAD) and a smoother integration of metric units.
Author : Eugene Lodewick Grant,William Grant Ireson,Richard S. Leavenworth
Publisher : John Wiley & Sons
Page : 714 pages
File Size : 43,8 Mb
Release : 1982
Category : Engineering economy
ISBN : UCAL:B3700022
The Eighth Edition of the standard engineering economy text and reference explains the principles and techniques needed for making decisions about the acquisition and retirement of capital goods by industry and government, as well as alternative types of financing and other applications. Arranged in four parts: basic concepts, principles, and mathematics; procedures and methods for evaluating alternatives; techniques for handling special situations; and special applications. Introduces the use of computers and spreadsheets in evaluating engineering alternatives. Includes up-to-date coverage of federal tax legislation, extensive discussions and problems dealing with personal finance, and material on handling multiple alternatives by rate of return and benefit/cost ratio methods. Contains numerous examples and 476 problems, many entirely new. Accompanied by a complete solutions manual for the instructor.