Big Data Science

Spatial Big Data Science: Classification Techniques for Earth Observation Imagery

Spatial Big Data Science: Classification Techniques for Earth Observation Imagery by Zhe Jiang
English | 15 Aug. 2017 | ISBN: 3319601946 | 131 Pages | PDF | 5.28 MB

Emerging Spatial Big Data (SBD) has transformative potential in solving many grand societal challenges such as water resource management, food security, disaster response, and transportation. However, significant computational challenges exist in analyzing SBD due to the unique spatial characteristics including spatial autocorrelation, anisotropy, heterogeneity, multiple scales and resolutions which is illustrated in this book.
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center (2016)

Big Data Science with the BD2K-LINCS Data Coordination and Integration Center
WEBRip | English | MP4 + PDF Guides | 960 x 540 | AVC ~67.7 kbps | 29.970 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 06:14:15 | 505 MB
Genre: eLearning Video / Science, Bioinformatics

The Library of Integrative Network-based Cellular Signatures (LINCS) is an NIH Common Fund program. The idea is to perturb different types of human cells with many different types of perturbations such as: drugs and other small molecules; genetic manipulations such as knockdown or overexpression of single genes; manipulation of the extracellular microenvironment conditions, for example, growing cells on different surfaces, and more.

Big Data Science with Apache Hadoop, Pig and Mahout  eBooks & eLearning

Posted by C2U at May 28, 2015
Big Data Science with Apache Hadoop, Pig and Mahout

Big Data Science with Apache Hadoop, Pig and Mahout
Duration: 10 Hours | Video: AVC (.MP4) 1280x720 30fps | Audio: AAC 44.1KHz 2ch | 1.14GB
Genre: eLearning | Language: English

Learn to execute Big Data Science Projects and deliver results using Apache Hadoop, MapReduce, Pig, Hive and Mahout

New Advances in Statistics and Data Science  eBooks & eLearning

Posted by AvaxGenius at Jan. 17, 2018
New Advances in Statistics and Data Science

New Advances in Statistics and Data Science By Ding-Geng Chen
English | PDF,EPUB | 2017 | 355 Pages | ISBN : 3319694154 | 11.75 MB

This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was the “Challenge of Big Data and Applications of Statistics,” in recognition of the advent of big data era, and the symposium offered opportunities for learning, receiving inspirations from old research ideas and for developing new ones, and for promoting further research collaborations in the data sciences.

Big-Data Analytics and Cloud Computing  eBooks & eLearning

Posted by naag at March 17, 2017
Big-Data Analytics and Cloud Computing

Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications
Springer | Theoretical Computer Science | January 13, 2016 | ISBN-10: 3319253115 | 169 pages | EPUB | 1.44 mb

Intelligent Techniques for Data Science  eBooks & eLearning

Posted by Underaglassmoon at Oct. 19, 2016
Intelligent Techniques for Data Science

Intelligent Techniques for Data Science
Springer | Computer Science | Oct. 12 2016 | ISBN-10: 3319292056 | 272 pages | pdf | 7.08 mb

Authors: Akerkar, Rajendra, Sajja, Priti Srinivas
Focuses on methods significantly beneficial in data science, and clearly describes them at an introductory level, with extensions to selected intermediate and advanced techniques
Reinforces the machine learning principles with necessary demonstrations in the field of data science
Integrates illustrations, cases and examples to support pedagogical exposition
Equips readers with the necessary information to obtain hands‐on experience of data science

Big-Data Analytics and Cloud Computing  eBooks & eLearning

Posted by Underaglassmoon at Jan. 24, 2016
Big-Data Analytics and Cloud Computing

Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications
Springer | Theoretical Computer Science | January 13, 2016 | ISBN-10: 3319253115 | 169 pages | pdf | 4.3 mb

Editors: Trovati, M., Hill, R., Anjum, A., Zhu, S.Y., Liu, L. (Eds.)
Discusses and explores theoretical concepts, principles, tools, techniques and deployment models in the context of Big Data
Focuses on the latest developments in Data Science (aka Analytics) and, especially, their applications to real-world challenges
Includes numerous cases studies for in-class analysis and assignments

Preparing Raw Data for Big Data and Data Science  eBooks & eLearning

Posted by IrGens at Feb. 2, 2018
Preparing Raw Data for Big Data and Data Science

Preparing Raw Data for Big Data and Data Science
.MP4, AVC, 530 kbps, 1920x1080 | English, AAC, 235 kbps, 2 Ch | 2 hrs 2 mins | 1.1 GB
Instructor: Eric Greene
Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On Your Data

Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta, "Practical Data Science Cookbook - Real-World Data Science Projects to Help You Get Your Hands On Your Data"
English | ISBN: 1783980249 | 2014 | EPUB/MOBI+Code files | 448 pages | 83 MB

Big Data MBA: Driving Business Strategies with Data Science  eBooks & eLearning

Posted by arundhati at Dec. 1, 2017
Big Data MBA: Driving Business Strategies with Data Science

Bill Schmarzo, "Big Data MBA: Driving Business Strategies with Data Science"
2015 | ISBN-10: 1119181119 | 312 pages | EPUB true | 13 MB