Video Training → Udemy - Machine Learning in R Image Classification for LULC mapping
Published by: voska89 on 8-09-2021, 19:10 | 0
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.89 GB | Duration: 5h 8m
Learn supervised machine learning 4 Remote Sensing R & R-Studio, image classification, land use and land cover mapping
Video Training → Udemy - Imbalanced Classification Master Class in Python
Published by: voska89 on 29-08-2021, 07:28 | 0
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 88 lectures (3h 6m) | Size: 861.2 MB
A Step-by-Step Guide to Handling Real-World Class Imbalance in Machine Learning
E-Books → Handbook of Diagnostic Classification Models Models and Model Extensions, Applications, Software Packages
Published by: voska89 on 13-08-2021, 01:31 | 0
Handbook of Diagnostic Classification Models: Models and Model Extensions, Applications, Software Packages by von Davier
English | PDF | 2019 | 656 Pages | ISBN : 3030055833 | 8.3 MB
This handbook provides an overview of major developments around diagnostic classification models (DCMs) with regard to modeling, estimation, model checking, scoring, and applications. It brings together not only the current state of the art, but also the theoretical background and models developed for diagnostic classification. The handbook also offers applications and special topics and practical guidelines how to plan and conduct research studies with the help of DCMs.
E-Books → Inductive Fuzzy Classification in Marketing Analytics
Published by: voska89 on 30-07-2021, 23:03 | 0
Inductive Fuzzy Classification in Marketing Analytics by Michael Kaufmann
English | PDF | 2014 | 125 Pages | ISBN : 3319058606 | 3.3 MB
To enhance marketing analytics, approximate and inductive reasoning can be applied to handle uncertainty in individual marketing models. This book demonstrates the use of fuzzy logic for classification and segmentation in marketing campaigns. Based on practical experience as a data analyst and on theoretical studies as a researcher, the author explains fuzzy classification, inductive logic and the concept of likelihood and introduces a blend of Bayesian and Fuzzy Set approaches, allowing reasonings on fuzzy sets that are derived by inductive logic.
E-Books → Thoracic tumours Who Classification of Tumours, 5th Edition
Published by: voska89 on 26-07-2021, 14:41 | 0
Thoracic tumours: Who Classification of Tumours
English | 2021 | ISBN: 9283245067 | 583 Pages | PDF | 108 MB
Thoracic Tumours is the fifth available volume in the fifth edition of the WHO series on the classification of human tumours. This series (also known as the WHO Blue Books) is regarded as the gold standard for the diagnosis of tumours and comprises a unique synthesis of histopathological diagnosis with digital and molecular pathology. These authoritative and concise reference books provide indispensable international standards for anyone involved in the care of patients with cancer or in cancer research, underpinning individual patient treatment as well as research into all aspects of cancer causation, prevention, therapy, and education.
E-Books → Stellar Spectral Classification
Published by: voska89 on 22-07-2021, 20:25 | 0
Stellar Spectral Classification By Richard O. Gray, Christopher J. Corbally
2009 | 592 Pages | ISBN: 0691125112 | PDF | 44 MB
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E-Books → Cataloging and Classification An Introduction, 4th Edition
Published by: voska89 on 21-07-2021, 08:11 | 0
Lois Mai Chan, Athena Salaba , "Cataloging and Classification: An Introduction, 4th Edition"
English | 2015 | ISBN: 1442232498 | 800 pages | EPUB | 6.7 MB
The fourth edition of the late Lois Mai Chan's classic Cataloging and Classification covers the analysis and representation of methods used in describing, organizing, and providing access to resources made available in or through libraries. Since the last edition published in 2007, there have been dramatic changes in cataloging systems from the Library of Congress. The most notable being the shift from AACR2 to Resource Description and Access (RDA) as the new standard developed by the Library of Congress. With the help of the coauthor, Athena Salaba, this text is modified throughout to conform to the new standard.Retaining the overall outline of the previous edition, this text presents the essence of library cataloging and classification in terms of three basic functions: descriptive cataloging, subject access, and classification. Within this framework, all chapters have been rewritten to incorporate the changes that have occurred during the interval between the third and fourth editions. In each part, the historical development and underlying principles of the retrieval mechanism at issue are treated first, because these are considered essential to an understanding of cataloging and classification. Discussion and examples of provisions in the standards and tools are then presented in order to illustrate the operations covered in each chapter.Divided into five parts-a general overview; record production and structure, encoding formats, and metadata records; RDA; subject access and controlled vocabularies; and the organization of library resources-each part of the book begins with a list of the standards and tools used in the preparation and processing of that part of the cataloging record covered, followed by suggested background readings selected to help the reader gain an overview of the subject to be presented. This book is the standard text for the teaching and understanding of cataloging and classification.
E-Books → Cataloging and Classification for Library Technicians, 2nd Edition
Published by: voska89 on 20-07-2021, 14:53 | 0
Ruth C Carter, Mary L Kao, "Cataloging and Classification for Library Technicians, 2nd Edition"
English | 2001 | ISBN: 0789010623, 0789010631 | 160 pages | PDF | 8.6 MB
Structure your workload with this comprehensive guide to the role and responsibilities of library technicians!
Video Training → Real Python - Learn Text Classification With Python and Keras
Published by: voska89 on 30-06-2021, 18:38 | 0
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 10 Lessons (39m) | Size: 148.1 MB
Imagine you could know the mood of the people on the Internet. Maybe you are not interested in its entirety, but only if people are today happy on your favorite social media platform. After this course, you'll be equipped to do this. While doing this, you will get a grasp of current advancements of (deep) neural networks and how they can be applied to text.
Video Training → Evaluating Classification and Regression Systems (Machine Learning with Python for Everyone Serie...
Published by: voska89 on 28-06-2021, 18:26 | 0
h264, yuv420p, 1280x720 | ENGLISH, 48000 Hz, 2channels | 3h 45mn | 6.82 GB
4 Hours of Video Instruction
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