PACKT_PUBLISHING_MACHINE_LEARNING_WITH_OPEN_CV_AND_PYTHON_TUTORIAL-OXBRiDGE

Section
Appz
Group
OXBRiDGE
Size
0 B
Files
0
Date
2017-05-18

NFO

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


     ·-- PUBLISHER -----·> Packt Publishing                                   
     ·-- LECTURESHIP ---·> Machine Learning with Open CV and Python           
                                                                              
                                                                              

     ·-- LECTURE DATE --·> 05-2017           
                           02-2017 {Published}
    
     ·-- PERIOD in HRS--·> 01+                                 
     ·-- SCALE ---------·> 24x50mb                                           

     ·-- LECTURE LINK --·> https://goo.gl/HV3pJ6                     
                                                                                              
 
     
     OpenCV is a library of programming functions mainly aimed at real-time  
     computer vision. This course will show you how machine learning is great
     choice to solve real-word computer vision problems and how you can use  
     the OpenCV modules to implement the popular machine learning concepts.  
                                                                             
     The video will teach you how to work with the various OpenCV modules for
     statistical modelling and machine learning. You will start by preparing 
     your data for analysis, learn about supervised and unsupervised         
     learning, and see how to implement them with the help of real-world     
     examples. The course will also show you how you can implement efficient 
     models using the popular machine learning techniques such as            
     classification, regression, decision trees, K-nearest neighbors,        
     boosting, and neural networks with the aid of C++ and OpenCV.           
     

Files

PathSize
No file list.