Video Training → Udemy - Plumbing System Estimation
Published by: voska89 on 21-12-2021, 02:53 | 
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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 12 lectures (2H 8M) | Size: 1.68 GB
Learn Plumbing Estimation with Project
Video Training → Udemy - Quantity Surveying Building Estimation Planswift and Excel
Published by: voska89 on 7-12-2021, 17:09 | 0
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.10 GB | Duration: 8h 38m
Video Training → Udemy - Detailed Cost Estimation For Construction Projects
Published by: voska89 on 7-12-2021, 16:33 | 0
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.30 GB | Duration: 4h 59m
Video Training → Udemy - Quantity Surveying and Estimation for Roads and Tunnel Works
Published by: voska89 on 26-11-2021, 14:15 | 0
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 9.8 GB | Duration: 16h 29m
Roads, Tunnel and utilities complete Estimation Solution of Quantity take-off, Rate Analysis, BOQ with AutoCAD and Excel
Video Training → Udemy - Quantity Surveying Building Estimation With Cad And Excel (updated 112021)
Published by: voska89 on 17-11-2021, 16:04 | 0
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 18.7 GB | Duration: 39h 57m
Quantity Surveying,Quantity Takeoff,Steel Estimation,Rate Analysis,B.O.Q,Payments To Contractor,Interim Payment In Excel
Video Training → Udemy - Quantity Surveying, Cost Estimation and Bill of Quantities
Published by: voska89 on 5-11-2021, 22:16 | 0
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 45 lectures (11h 29m) | Size: 9 GB
Quantity Surveying Course, Takeoff, Construction Estimating, BOQ Preparation, Measurements, PlanSwift9
Video Training → Udemy - The Art of Construction Estimation
Published by: voska89 on 3-10-2021, 17:47 | 0
Created by Nizar Alsankary | Last updated 9/2021
Duration: 38m | 3 sections | 9 lectures | Video: 1280x720, 44 KHz | 232 MB
Genre: eLearning | Language: English + Sub
E-Books → Estimation and Inference in Econometrics
Published by: voska89 on 7-08-2021, 21:32 | 0
Russell Davidson, "Estimation and Inference in Econometrics"
English | ISBN: 0195060113 | | 896 pages | PDF | 17 MB
Offering a unifying theoretical perspective, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation.
E-Books → Sparse Estimation with Math and R
Published by: voska89 on 5-08-2021, 22:15 | 0
Sparse Estimation with Math and R: 100 Exercises for Building Logic
English | 2021 | ISBN: 9811614458 | 241 Pages | PDF EPUB | 70 MB
The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of sparse estimation by considering math problems and building R programs.
E-Books → Sparse Estimation with Math and R 100 Exercises for Building Logic
Published by: voska89 on 5-08-2021, 15:22 | 0
English | 2021 | ISBN: 9811614458 | 241 pages | pdf, epub | 75.55 MB
The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of sparse estimation by considering math problems and building R programs. Each chapter introduces the notion of sparsity and provides procedures followed by mathematical derivations and source programs with examples of execution. To maximize readers' insights into sparsity, mathematical proofs are presented for almost all propositions, and programs are described without depending on any packages. The book is carefully organized to provide the solutions to the exercises in each chapter so that readers can solve the total of 100 exercises by simply following the contents of each chapter.
This textbook is suitable for an undergraduate or graduate course consisting of about 15 lectures (90 mins each). Written in an easy-to-follow and self-contained style, this book will also be perfect material for independent learning by data scientists, machine learning engineers, and researchers interested in linear regression, generalized linear lasso, group lasso, fused lasso, graphical models, matrix decomposition, and multivariate analysis.
