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Unbalanced Sequential Data in Machine Learning

Unbalanced Sequential Data in Machine Learning  eBooks & eLearning

Posted by naag at Sept. 27, 2017
Unbalanced Sequential Data in Machine Learning

Unbalanced Sequential Data in Machine Learning
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour | 204 MB
Genre: eLearning | Language: English
Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods

Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods by Sarah Vluymans
English | PDF,EPUB | 2019 | 263 Pages | ISBN : 3030046621 | 13.85 MB

This book presents novel classification algorithms for four challenging prediction tasks, namely learning from imbalanced, semi-supervised, multi-instance and multi-label data. The methods are based on fuzzy rough set theory, a mathematical framework used to model uncertainty in data. The book makes two main contributions: helping readers gain a deeper understanding of the underlying mathematical theory; and developing new, intuitive and well-performing classification approaches

Big Data and Machine Learning in Quantitative Investment  eBooks & eLearning

Posted by roxul at Dec. 13, 2018
Big Data and Machine Learning in Quantitative Investment

Tony Guida, "Big Data and Machine Learning in Quantitative Investment"
English | ISBN: 1119522196 | 2019 | 296 pages | PDF | 8 MB
Advances in Machine Learning and Data Science: Recent Achievements and Research Directives (Repost)

Advances in Machine Learning and Data Science: Recent Achievements and Research Directives By Damodar Reddy Edla
English | PDF | 2018 | 382 Pages | ISBN : 9811085684 | 14.20 MB

The Volume of “Advances in Machine Learning and Data Science - Recent Achievements and Research Directives” constitutes the proceedings of First International Conference on Latest Advances in Machine Learning and Data Science (LAMDA 2017). The 37 regular papers presented in this volume were carefully reviewed and selected from 123 submissions.

Projects in Machine Learning : Beginner To Professional  eBooks & eLearning

Posted by IrGens at Nov. 1, 2018
Projects in Machine Learning : Beginner To Professional

Projects in Machine Learning : Beginner To Professional
.MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 128 kbps, 2 Ch | 15.5 hours | 4.24 GB
Created by Eduonix Learning Solutions
Advances in Machine Learning and Data Science: Recent Achievements and Research Directives (Repost)

Advances in Machine Learning and Data Science: Recent Achievements and Research Directives By Damodar Reddy Edla
English | PDF | 2018 | 382 Pages | ISBN : 9811085684 | 14.20 MB

The Volume of “Advances in Machine Learning and Data Science - Recent Achievements and Research Directives” constitutes the proceedings of First International Conference on Latest Advances in Machine Learning and Data Science (LAMDA 2017). The 37 regular papers presented in this volume were carefully reviewed and selected from 123 submissions.
Advances in Machine Learning and Data Science: Recent Achievements and Research Directives (Repost)

Advances in Machine Learning and Data Science: Recent Achievements and Research Directives By Damodar Reddy Edla
English | PDF | 2018 | 382 Pages | ISBN : 9811085684 | 14.20 MB

The Volume of “Advances in Machine Learning and Data Science - Recent Achievements and Research Directives” constitutes the proceedings of First International Conference on Latest Advances in Machine Learning and Data Science (LAMDA 2017). The 37 regular papers presented in this volume were carefully reviewed and selected from 123 submissions.

Recent Developments in Machine Learning and Data Analytics: IC3 2018 (Repost)  eBooks & eLearning

Posted by AvaxGenius at Sept. 23, 2018
Recent Developments in Machine Learning and Data Analytics: IC3 2018 (Repost)

Recent Developments in Machine Learning and Data Analytics: IC3 2018 by Jugal Kalita
English | PDF | 2018 | 525 Pages | ISBN : 9811312796 | 27.78 MB

This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes current research and findings from various research labs, universities and institutions that may lead to development of marketable products. It also provides solid support for these findings in the form of empirical studies, theoretical analysis, or comparison to psychological phenomena. Further, it features work that shows how to apply learning methods to solve important application problems as well as how machine learning research is conducted. The book is divided into two main parts: Machine Learning Techniques, which covers machine learning-related research and findings; and, Data Analytics, which introduces recent developments in this domain. Additionally, the book includes work on data analytics using machine learning techniques.
Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, Part II

Xiaofei He, Xinbo Gao, Yanning Zhang, "Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, Part II"
2015 | pages: 644 | ISBN: 3319238612 | PDF | 34,2 mb
Künstliche Intelligenz: Einführung in Machine Learning, Deep Learning, neuronale Netze, Robotik und Co

Künstliche Intelligenz: Einführung in Machine Learning, Deep Learning, neuronale Netze, Robotik und Co. by Phillip Kuhlmann
German | 18 Jun. 2018 | ISBN: 1983196061 | 85 Pages | MOBI | 268.97 KB