Data Functional Model

Data Refinement: Model-Oriented Proof Methods and their Comparison  eBooks & eLearning

Posted by arundhati at Aug. 3, 2015
Data Refinement: Model-Oriented Proof Methods and their Comparison

Willem-Paul de Roever, Kai Engelhardt, "Data Refinement: Model-Oriented Proof Methods and their Comparison"
2008 | ISBN-10: 0521103509, 0521641705 | 436 pages | PDF | 17 MB

Tracer Kinetics in Biomedical Research: From Data to Model by David Foster  eBooks & eLearning

Posted by tanas.olesya at Sept. 13, 2014
Tracer Kinetics in Biomedical Research: From Data to Model by David Foster

Tracer Kinetics in Biomedical Research: From Data to Model by David Foster
Springer; 2001 edition | January 31, 2001 | English | ISBN: 0306464276 | 469 pages | PDF | 8 MB

The use of mathematical modeling te chniques in biomedical research is playing an increasingly important role aso ne seeks tounderstand the physiopathology of disease processes. This includes not only understand ing mechanisms ofphysiological processes, but diagnosis and treatment. In addition, its introduction in the study of genomics andproteomics is key in understanding the functional ch aracteristics of gene expression and protein assembly and secretion.
Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics) [Repost]

Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics) by S. Ejaz Ahmed
English | 6 Apr. 2017 | ISBN: 3319415727 | 400 Pages | PDF | 11.58 MB

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.
Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics) [Repost]

Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics) by S. Ejaz Ahmed
English | 6 Apr. 2017 | ISBN: 3319415727 | 400 Pages | PDF | 11.58 MB

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.
Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics) [Repost]

Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics) by S. Ejaz Ahmed
English | 6 Apr. 2017 | ISBN: 3319415727 | 400 Pages | PDF | 11.58 MB

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.

Power BI Desktop Masterclass - Data Analysis for Everyone  eBooks & eLearning

Posted by naag at May 26, 2017
Power BI Desktop Masterclass - Data Analysis for Everyone

Power BI Desktop Masterclass - Data Analysis for Everyone
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | Lec: 44 | 652 MB
Genre: eLearning | Language: English

Master Power BI Desktop- Get, Transform, Model and visualize data like never before - Self Service Business Intelligence
Data Science Solutions: Machine Learning. Python. Google Cloud. AWS. Neo4j. Kaggle

Data Science Solutions: Machine Learning. Python. Google Cloud. AWS. Neo4j. Kaggle
2017 | English | ASIN: B01N4WL0XS | 242 pages | PDF + EPUB (conv) | 6.88 Mb

The field of data science, big data, machine learning, and artificial intelligence is exciting and complex at the same time. Data science is also rapidly growing with new tools, technologies, algorithms, datasets, and use cases. For a beginner in this field, the learning curve can be fairly daunting. This is where this book helps.
Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics) [repost]

Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics) by S. Ejaz Ahmed
English | 6 Apr. 2017 | ISBN: 3319415727 | 400 Pages | PDF | 11.58 MB

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.
Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Repost)

Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery By Graham Williams
2011 | 396 Pages | ISBN: 1441998896 | PDF | 10 MB
Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics)

Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics) by S. Ejaz Ahmed
English | 6 Apr. 2017 | ISBN: 3319415727 | 400 Pages | PDF | 11.58 MB

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.