PACKT_ADVANCED_ARTIFICIAL_INTELLIGENCE_PROJECTS_WITH_PYTHON_TUTORIAL-OXBRiDGE

Section
Appz
Group
OXBRiDGE
Size
469,67 MB
Files
12
Date
2018-11-02

NFO


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

     ░ 
     █ Advanced Artificial Intelligence Projects with Python              
     █                                                          
     █
     █ Published by: Packt                                               
     █               Mar 2018                                            
     ▓
     ▓ Lecture Size: 10x50       
     ▓       Length: +2 hrs   
     ▒ Lecture Date: 10/2018                
     ░
     ░ Lecture Link: https://www.safaribooksonline.com/                         
     ░               https://www.packtpub.com                                     
     ░
     :
     | Enter and explore the fascinating world of intelligent             
     | applications with Artificial Intelligence using the Python         
     | programming language                                               
     |                                                                    
     | About This Video                                                   
     |                                                                    
     |     Hands-on projects that simplify your first steps into the      
     | world of Artificial Intelligence with Python                       
     |     Master AI concepts that will get you up-and-running with AI in 
     | no time                                                            
     |     Leverage popular Python deep learning libraries for your       
     | Artificial Intelligence projects                                   
     |                                                                    
     | In Detail                                                          
     |                                                                    
     | Considered the Holy Grail of automation, data analysis, and        
     | robotics, Artificial Intelligence has taken the world by storm as  
     | a major field of research and development. Python has surfaced as  
     | a dominate language in AI/ML programming because of its simplicity 
     | and flexibility, in addition to its great support for open source  
     | libraries such as spaCy and TensorFlow.                            
     |                                                                    
     | This video course is built for those with a basic understanding of 
     | artificial intelligence, introducing them to advanced artificial   
     | intelligence projects as they go ahead. The first project          
     | introduces natural language processing including part-of-speech    
     | tagging and named entity extraction. Wikipedia articles are used   
     | to demonstrate the extraction of keywords, and the Enron email     
     | archive is mined for mentions and relationships of people, places, 
     | and organizations. The spaCy library is used. The next project     
     | introduces genetic algorithms. The DEAP library is used. A music   
     | data set is used in a genetic algorithm that generates a music     
     | playlist satisfying multiple criteria such as song similarity and  
     | playlist length. The last project introduces reinforcement         
     | learning and deep reinforcement learning. The OpenAI Gym platform  
     | and Q-learning algorithm are used to build a game-playing AI.      
     |                                                                    
     | The code bundle for this video course is available at -            
     | https://github.com/PacktPublishing/Advanced-Artificial-            
     | Intelligence-Projects-with-Python                                  
     ,
     

Files

PathSize
ox_paaipwptkrv.r0047,68 MB
ox_paaipwptkrv.r0147,68 MB
ox_paaipwptkrv.r0247,68 MB
ox_paaipwptkrv.r0347,68 MB
ox_paaipwptkrv.r0447,68 MB
ox_paaipwptkrv.r0547,68 MB
ox_paaipwptkrv.r0647,68 MB
ox_paaipwptkrv.r0747,68 MB
ox_paaipwptkrv.r0840,52 MB
ox_paaipwptkrv.rar47,68 MB
ox_paaipwptkrv.sfv290 B
oxbridge.nfo4,30 KB