PACKT_PUBLISHING_HEAVY_LIFTING_USING_R_LIBRARIES_TUTORIAL-OXBRiDGE

Section
Appz
Group
OXBRiDGE
Size
419,56 MB
Files
11
Date
2017-09-07

NFO


░ ░▒▒▒▓▓█████▌░░ University of OXford & University of camBRiDGE ░░▐████▓▓▒▒▒░ ░
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▐███▀ ▀███▀███▓▄███▀ ▐███ ▄███▀▐███▓ ▄████▀▐███▌███▓   ███▓████       ▓███▌
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  ...is a collective term for characteristics that the two institutions share.


     █ Heavy-Lifting Using R Libraries                                    
     █                                                          
     ▄
     █ by Dr. Samik Sen                                                  
     █ Publisher: Packt Publishing                                       
     ▓ Release Date: July 2017                                           
     ▓ ISBN: 9781788395816                                                
     ▒ Running time: 1:50:07                                              
     ▒ Topic: R                                                            
     ░ Scale: 09x50mb     
     ░ Downloads: (■) Included ( ) Without
     ░                                                      
     ░ Lecture Date: 09/2017          
     ░ Lecture Link: https://goo.gl/rT1xBs                
     ░
     :
     | Tap into some of the thousands of available R libraries that let   
     | us do state-of-the-art things with little effort!                  
     |                                                                    
     | About This Video                                                   
     |                                                                    
     | Perform multi-core high performance computations                   
     | Produce interactive reports for global warming                     
     | Plot data dynamically with Google Maps                             
     | In Detail                                                          
     |                                                                    
     | In this video course, you will learn to tap some of the powerful   
     | abilities of R. R is one of the leading packages in the world with 
     | a vast number of active users and, as a result, has a massive      
     | number of state-of-the-art libraries. You will master the basics   
     | and get comfortable with R, so you can then use its libraries to   
     | do the heavy-lifting. You'll begin by looking at high-performance  
     | computing in the classic, computationally intensive scenario:      
     | finding prime numbers.Then you'll learn how to use R, before       
     | moving on to using C++, which is far faster. Next you will use the 
     | power of parallel, though that varies from problem to problem      
     | since some are more suitable for parallelization. Then you will    
     | look at some powerful options available on R where you don't just  
     | produce a static result but instead respond to user selections.    
     | This will be a small sample of the countless alternatives out      
     | there. Having learnt that there are exciting things going on in    
     | data science, you can now begin your journey in whatever           
     | specialized niche you wish. Don't stop here, this is just the      
     | start. There are active R communities on the internet and many     
     | Packt books and courses to take you to where you want to go!       
     ,
     

Files

PathSize
ox_pphlurltkcq.r0047,68 MB
ox_pphlurltkcq.r0147,68 MB
ox_pphlurltkcq.r0247,68 MB
ox_pphlurltkcq.r0347,68 MB
ox_pphlurltkcq.r0447,68 MB
ox_pphlurltkcq.r0547,68 MB
ox_pphlurltkcq.r0647,68 MB
ox_pphlurltkcq.r0738,09 MB
ox_pphlurltkcq.rar47,68 MB
ox_pphlurltkcq.sfv261 B
oxbridge.nfo3,65 KB