Please register here if you want to download anything!

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

The Ultimate Data Science & Machine Learning Python in 2019  eBooks & eLearning

Posted by Sigha at May 11, 2019
The Ultimate Data Science & Machine Learning Python in 2019

The Ultimate Data Science & Machine Learning Python in 2019
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 4.16 GB
Duration: 15.5 hours | Genre: eLearning Video | Language: English

Numpy, Pandas, Matplotlib, Scikit-Learn, WebScraping, Data Science, cleaning data, Machine Learning, Pyspark, statistics.

Data Management in Machine Learning Systems  eBooks & eLearning

Posted by Underaglassmoon at April 18, 2019
Data Management in Machine Learning Systems

Data Management in Machine Learning Systems
Morgan & Claypool | English | 2019 | ISBN-10: 1681734982 | 174 pages | PDF | 2.17 MB

by Matthias Boehm (Author), Arun Kumar (Author), Jun Yang (Author)
Large-scale data analytics using machine learning (ML) underpins many modern data-driven applications

A Course in Machine Learning by Hal Daume III  eBooks & eLearning

Posted by lengen at April 22, 2019
A Course in Machine Learning by Hal Daume III

A Course in Machine Learning by Hal Daume III
English | January 2017 | ISBN: N/A | 227 Pages | PDF | 3.7 MB

This is a set of introductory materials that covers most major aspects of modern machine learning (supervised learning, unsupervised learning, large margin methods, probabilistic modeling, learning theory, etc.).

Dataset Shift in Machine Learning  eBooks & eLearning

Posted by Jeembo at April 13, 2019
Dataset Shift in Machine Learning

Dataset Shift in Machine Learning by Joaquin QuiƱonero-Candela
English | 2008 | ISBN: 0262170051 | 248 Pages | PDF | 4.6 MB

An overview of recent efforts in the machine learning community to deal with dataset and covariate shift, which occurs when test and training inputs and outputs have different distributions.
Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python

Akshay Kulkarni, Adarsha Shivananda, "Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python"
2019 | ISBN-10: 1484242661 | 234 pages | PDF, EPUB | 10 MB
The Invisible Brand: Marketing in the Age of Automation, Big Data, and Machine Learning

William Ammerman, "The Invisible Brand: Marketing in the Age of Automation, Big Data, and Machine Learning"
ISBN: 1260441253 | 2019 | EPUB | 320 pages | 2 MB

Braverman Readings in Machine Learning. Key Ideas from Inception to Current State  eBooks & eLearning

Posted by interes at Jan. 12, 2019
Braverman Readings in Machine Learning. Key Ideas from Inception to Current State

Braverman Readings in Machine Learning. Key Ideas from Inception to Current State (Lecture Notes in Computer Science, Book 11100) by Lev Rozonoer and Boris Mirkin
English | 2018 | ISBN: 3319994913 | 368 pages | PDF | 18,8 MB
State-of-the-Art AI Driverless Self-Driving Cars: Practical Adbances in Machine Learning and AI

State-of-the-Art AI Driverless Self-Driving Cars: Practical Adbances in Machine Learning and AI by Dr. Lance Eliot
English | May 28, 2018 | ISBN: 0692132171 | 228 pages | AZW3 | 1.65 Mb