Data Visualozation

Building Data-driven React Applicationswith Relay, GraphQL, and Flux

Building Data-driven React Applicationswith Relay, GraphQL, and Flux
HDRips | MP4/AVC, ~210 kb/s | 1280x720 | Duration: 03:09:00 | English: AAC, 66 kb/s (2 ch) | 518 MB
Genre: Development / Programming

In this course, we create a React.js application on top of an Express.js project on Node.js. We'll have our data stored in MongoDB and exposed with a GraphQL endpoint on the server. For the clients on the frontend, we'll see examples of how to work with data using the Flux pattern first, then using the Relay.js framework. We'll be using Babel and Webpack in this project, and we'll install all our dependencies with npm. The application we will be building is a list of educational resources about React, GraphQL, and Relay. Users can add new resources and browse and search the list.

Applying Quantitative Bias Analysis to Epidemiologic Data (Repost)  eBooks & eLearning

Posted by AvaxGenius at July 23, 2017
Applying Quantitative Bias Analysis to Epidemiologic Data (Repost)

Applying Quantitative Bias Analysis to Epidemiologic Data By Timothy L. Lash, Matthew P. Fox, Aliza K. Fink
English | PDF | 2009 | 200 Pages | ISBN : 0387879609 | 3 MB

This text provides the first-ever compilation of bias analysis methods for use with epidemiologic data. It guides the reader through the planning stages of bias analysis, including the design of validation studies and the collection of validity data from other sources. Three chapters present methods for corrections to address selection bias, uncontrolled confounding, and classification errors. Subsequent chapters extend these methods to multidimensional bias analysis, probabilistic bias analysis, and multiple bias analysis.

Rough Set Theory: A True Landmark in Data Analysis (Repost)  eBooks & eLearning

Posted by AvaxGenius at July 23, 2017
Rough Set Theory: A True Landmark in Data Analysis (Repost)

Rough Set Theory: A True Landmark in Data Analysis By Ajith Abraham, Rafael Falcón, Rafael Bello
English | PDF | 2009 | 330 Pages | ISBN : 3540899200 | 6.8 MB

Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still keeping an eye on topological aspects of the theory as well as strengthening its linkage with other soft computing paradigms.

Core Data by Tutorials: iOS 10 and Swift 3 edition, Third Edition  eBooks & eLearning

Posted by Willson at July 23, 2017
Core Data by Tutorials: iOS 10 and Swift 3 edition, Third Edition

raywenderlich.com Team, Aaron Douglas, Saul Mora, Matthew Morey, Pietro Rea, "Core Data by Tutorials Third Edition: iOS 10 and Swift 3 edition"
English | 2016 | ISBN: 1942878265 | 250 pages | PDF + source code | 20.4 MB + 50 MB
Digital Signal Processing with Matlab Examples, Volume 2: Decomposition, Recovery, Data-Based Actions [Repost]

Jose Maria Giron-Sierra - Digital Signal Processing with Matlab Examples, Volume 2: Decomposition, Recovery, Data-Based Actions
Published: 2016-12-03 | ISBN: 9811025363 | PDF | 913 pages | 21.78 MB

Statistics: The Art and Science of Learning from Data (3rd edition) [Repost]  eBooks & eLearning

Posted by ChrisRedfield at July 23, 2017
Statistics: The Art and Science of Learning from Data (3rd edition) [Repost]

Alan Agresti, Christine A. Franklin - Statistics: The Art and Science of Learning from Data (3rd edition)
Published: 2012-01-06 | ISBN: 0321755944, 0321756320 | PDF | 832 pages | 39.67 MB

Cyber Society, Big Data, and Evaluation : Comparative Policy Evaluation  eBooks & eLearning

Posted by readerXXI at July 23, 2017
Cyber Society, Big Data, and Evaluation : Comparative Policy Evaluation

Cyber Society, Big Data, and Evaluation : Comparative Policy Evaluation
by Gustav Jakob Petersson and Jonathan D. Breul
English | 2017 | ISBN: 1412864364 | 272 Pages | PDF | 5.5 MB

The Data Science Design Manual (Texts in Computer Science) [Repost]  eBooks & eLearning

Posted by hill0 at July 22, 2017
The Data Science Design Manual (Texts in Computer Science) [Repost]

The Data Science Design Manual (Texts in Computer Science) by Steven S. Skiena
English | 30 July 2017 | ISBN: 3319554433 | 445 Pages | PDF | 20.38 MB

This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data.
First Hitting Time Regression Models: Lifetime Data Analysis Based on Underlying Stochastic Processes

Chrysseis Caroni, "First Hitting Time Regression Models: Lifetime Data Analysis Based on Underlying Stochastic Processes"
English | ISBN: 1848218893 | 2017 | 200 pages | PDF | 1 MB

Udemy - Python for Data Science and Machine Learning Bootcamp  eBooks & eLearning

Posted by First1 at July 21, 2017
Udemy - Python for Data Science and Machine Learning Bootcamp

Udemy - Python for Data Science and Machine Learning Bootcamp
Size: 4.28 GB | Duration: 21 hrs 37 mns | Video: AVC (.mp4) 1920x1080 30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Language: English | + Articles, Supplemental Resources, Workfiles

Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!