Machine Learning Approach

Rule Based Systems for Big Data: A Machine Learning Approach  eBooks & eLearning

Posted by naag at Feb. 21, 2017
Rule Based Systems for Big Data: A Machine Learning Approach

Han Liu, Alexander Gegov, Mihaela Cocea, "Rule Based Systems for Big Data: A Machine Learning Approach"
English | 2015 | ISBN-10: 3319236954 | 121 pages | Epub | 2.8 MB

Intrusion Detection: A Machine Learning Approach, Volume 3  eBooks & eLearning

Posted by interes at Dec. 12, 2015
Intrusion Detection: A Machine Learning Approach, Volume 3

Intrusion Detection: A Machine Learning Approach, Volume 3 (Series in Electrical and Computer Engineering) by Zhenwei Yu and Jeffrey J P Tsai
English | 2011 | ISBN: 1848164475 | 184 pages | PDF | 1 MB

Rule Based Systems for Big Data: A Machine Learning Approach (Repost)  eBooks & eLearning

Posted by roxul at Oct. 1, 2015
Rule Based Systems for Big Data: A Machine Learning Approach (Repost)

Han Liu, Alexander Gegov, Mihaela Cocea, "Rule Based Systems for Big Data: A Machine Learning Approach"
English | 2015 | ISBN-10: 3319236954 | 121 pages | pdf | 2.8 MB
Bioinformatics: The Machine Learning Approach (Adaptive Computation and Machine Learning Series) [Repost]

Bioinformatics: The Machine Learning Approach (Adaptive Computation and Machine Learning Series) by Pierre Baldi
English | 10 Aug. 2001 | ISBN: 026202506X | 400 Pages | PDF | 3.29 MB

An unprecedented wealth of data is being generated by genome sequencing projects and other experimental efforts to determine the structure and function of biological molecules.

Pierre Baldi, Bioinformatics: The Machine Learning Approach  eBooks & eLearning

Posted by Direktor69 at July 18, 2013
Pierre Baldi, Bioinformatics: The Machine Learning Approach

Pierre Baldi, Bioinformatics: The Machine Learning Approach
ISBN: 026202506X | edition 2001 | PDF | 477 pages | 6 mb

Pierre Baldi and Søren Brunak present the key machine learning approaches and apply them to the computational problems encountered in the analysis of biological data. The book is aimed at two types of researchers and students. First are the biologists and biochemists who need to understand new data-driven algorithms, such as neural networks and hidden Markov models, in the context of biological sequences and their molecular structure and function. Second are those with a primary background in physics, mathematics, statistics, or computer science who need to know more about specific applications in molecular biology

Bioinformatics: The Machine Learning Approach, 2nd Edition  eBooks & eLearning

Posted by SweetStroke at Aug. 16, 2006
Bioinformatics: The Machine Learning Approach, 2nd Edition

Pierre Baldi, Søren Brunak, «Bioinformatics: The Machine Learning Approach, 2nd Edition»
The MIT Press | ISBN 026202506X | 2001 Year | PDF | 5,94 Mb | 400 Pages

"Pierre Baldi and Søren Brunak present the key machine learning approaches and apply them to the computational problems encountered in the analysis of biological data. The book is aimed at two types of researchers and students. First are the biologists and biochemists who need to understand new data-driven algorithms, such as neural networks and hidden Markov models, in the context of biological sequences and their molecular structure and function. Second are those with a primary background in physics, mathematics, statistics, or computer science who need to know more about specific applications in molecular biology."
Handbook Of Research On Machine Learning Applications and Trends: Algorithms, Methods and Techniques [Repost]

Emilio Soria Olivas, Jose David Martin Guerrero, Marcelino Martinez Sober, Jose Rafael Magdalena Benedito, Antonio Jose Serrano Lopez - Handbook Of Research On Machine Learning Applications and Trends: Algorithms, Methods and Techniques
Published: 2009-09-04 | ISBN: 1605667668 | PDF | 834 pages | 7.31 MB
Handbook Of Research On Machine Learning Applications and Trends: Algorithms, Methods and Techniques (2 Volumes) (repost)

Emilio Soria Olivas, Jose David Martin Guerrero, Marcelino Martinez Sober, and Jose Rafael Magdalena Benedito, "Handbook Of Research On Machine Learning Applications and Trends: Algorithms, Methods and Techniques (2 Volumes)"
Information Science Reference | 2009 | ISBN: 1605667668 | 834 pages | PDF | 11,9 MB

Time-Series Prediction and Applications: A Machine Intelligence Approach  eBooks & eLearning

Posted by AvaxGenius at March 26, 2017
Time-Series Prediction and Applications: A Machine Intelligence Approach

Time-Series Prediction and Applications: A Machine Intelligence Approach By Amit Konar, Diptendu Bhattacharya
English | PDF | 2017 | 255 Pages | ISBN : 3319545965 | 5.08 MB

This book presents machine learning and type-2 fuzzy sets for the prediction of time-series with a particular focus on business forecasting applications.

Lynda - Machine Learning Essential Training: Value Estimations  eBooks & eLearning

Posted by U.N.Owen at March 22, 2017
Lynda - Machine Learning Essential Training: Value Estimations

Lynda - Machine Learning Essential Training: Value Estimations
Size: 157 MB | Duration: 1h 5m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English

Value estimation—one of the most common types of machine learning algorithms—can automatically estimate values by looking at related information.