Database Programming Using r

Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R

Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R By Taweh Beysolow II
English | PDF,EPUB | 2017 | 240 Pages | ISBN : 1484227336 | 10 MB

Understand deep learning, the nuances of its different models, and where these models can be applied.

A Primer in Biological Data Analysis and Visualization Using R  eBooks & eLearning

Posted by ksveta6 at March 16, 2015
A Primer in Biological Data Analysis and Visualization Using R

A Primer in Biological Data Analysis and Visualization Using R by Gregg Hartvigsen
2014 | ISBN: 0231166990, 0231166982 | English | 248 pages | EPUB | 2 MB

Practical Database Programming with Java (repost)  eBooks & eLearning

Posted by MoneyRich at Dec. 24, 2014
Practical Database Programming with Java (repost)

Practical Database Programming with Java by Ying Bai
English | October 4, 2011 | ISBN: 0470889403 | 952 Pages | PDF | 30 MB

Covers fundamental and advanced Java database programming techniques for beginning and experienced readers.

Practical Database Programming with Java (repost)  eBooks & eLearning

Posted by Veslefrikk at Feb. 8, 2014
Practical Database Programming with Java (repost)

Ying Bai, "Practical Database Programming with Java"
Publisher: W.l.y | ISBN: 0470889403 | October 4, 2011 | PDF | 952 pages | 30 MB

Practical Database Programming with Java  eBooks & eLearning

Posted by bookwyrm at June 9, 2012
Practical Database Programming with Java

Practical Database Programming with Java By Ying Bai
2011 | 952 Pages | ISBN: 0470889403 | EPUB | 42 MB

Practical Database Programming with Java  eBooks & eLearning

Posted by tarantoga at Jan. 14, 2012
Practical Database Programming with Java

Ying Bai, "Practical Database Programming with Java"
Publisher: W.l.y | ISBN: 0470889403 | October 4, 2011 | PDF | 952 pages | 30 MB

Database design using ER modelling & Normalization technique  eBooks & eLearning

Posted by naag at Feb. 22, 2018
Database design using ER modelling & Normalization technique

Database design using ER modelling & Normalization technique
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: 14 | 254 MB
Genre: eLearning | Language: English

data modeling, design database, dbms,sql,er modelling,normalisation, design tables for database,database management

PHP Programming: Using MySQL & Oracle  eBooks & eLearning

Posted by hill0 at Feb. 20, 2018
PHP Programming: Using MySQL & Oracle

PHP Programming: Using MySQL & Oracle by Francis John Thottungal
English | 2017 | ASIN: B0755W9D6K | 152 Pages | EPUB | 3 MB

Accelerator Programming Using Directives  eBooks & eLearning

Posted by AvaxGenius at Feb. 12, 2018
Accelerator Programming Using Directives

Accelerator Programming Using Directives: 4th International Workshop, WACCPD 2017, Held in Conjunction with the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2017, Denver, CO, USA, November 13, 2017, Proceedings by Sunita Chandrasekaran
English | PDF,EPUB | 2018 | 189 Pages | ISBN : 3319748955 | 17.98 MB

This book constitutes the refereed post-conference proceedings of the 4th International Workshop on Accelerator Programming Using Directives, WACCPD 2017, held in Denver, CO, USA, in November 2017.

Analyzing Financial Data and Implementing Financial Models Using R  eBooks & eLearning

Posted by AvaxGenius at Feb. 5, 2018
Analyzing Financial Data and Implementing Financial Models Using R

Analyzing Financial Data and Implementing Financial Models Using R By Clifford S. Ang
English | EPUB | 2015 | 351 Pages | ISBN : 3319140744 | 12.88 MB

This book is a comprehensive introduction to financial modeling that teaches advanced undergraduate and graduate students in finance and economics how to use R to analyze financial data and implement financial models. This text will show students how to obtain publicly available data, manipulate such data, implement the models, and generate typical output expected for a particular analysis.