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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
Advances in Machine Learning and Data Science: Recent Achievements and Research Directives

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.

Data Science: Machine Learning algorithms in Matlab  eBooks & eLearning

Posted by naag at Sept. 26, 2017
Data Science: Machine Learning algorithms in Matlab

Data Science: Machine Learning algorithms in Matlab
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | Lec: 23 | 316 MB
Genre: eLearning | Language: English

A-Z Guide to Implementing Classic Machine Learning Algorithms From Scratch and with Matlab and maths.

Preparing and Exploring Security Data for Machine Learning  eBooks & eLearning

Posted by naag at April 18, 2018
Preparing and Exploring Security Data for Machine Learning

Preparing and Exploring Security Data for Machine Learning
MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 2 Hours | 2.55 GB
Genre: eLearning | Language: English
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.

Learning From Data - Introductory Machine Learning Course  eBooks & eLearning

Posted by FenixN at Nov. 28, 2016
Learning From Data - Introductory Machine Learning Course

Learning From Data - Introductory Machine Learning Course
HDRips | MP4/AVC, ~222 kb/s | 1280x720 | Duration: 23:36:03 | English: AAC, 96 kb/s (2 ch) | 3.22 GB
Genre: Science

This introductory computer science course in machine learning will cover basic theory, algorithms, and applications. Machine learning is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. It enables computational systems to automatically learn how to perform a desired task based on information extracted from the data. Machine learning has become one of the hottest fields of study today and the demand for jobs is only expected to increase. Gaining skills in this field will get you one step closer to becoming a data scientist or quantitative analyst.