MACHINE LEARNING. THEORY 
        
          1. Peter Flach. Machine Learning: The Art and Science of Algorithms that 
             Make Sense of Data. 
          2. Yoshua Bengio et al, Deep Learning. 
        
        
        PYTHON LANGUAGE 
        
        Mark Lutz. Learning Python. Volume 1, 2. 
        
        
        DATA ANALYSIS IN PYTHON. PANDAS AND NUMPY LIBRARIES 
        
          1. Michael Haidt. Studying Pandas 
          2. Wes McKinney. Python for Data Analysis 
          3. J. Vander Plas. Python for Complex Tasks: Data Science and 
             Machine Learning 
        
        
        
        MACHINE LEARNING IN PYTHON, SCIKIT-LEARN LIBRARY 
        
          1. Andreas Müller, Sarah Guido. Introduction to Machine Learning with 
             Python. 
          2. Sebastian Raschka. Python Machine Learning. 
        
        
        
        DEEP LEARNING. KERAS, TENSORFLOW, AND PYTORCH LIBRARIES 
            
                1.    François Chollet. Deep Learning with Python. 
                2.  Antonio Gulli, Sujit Pal. Deep Learning with Keras: Implementing deep 
                      learning models and neural networks with the power of Python. 
                3.  Aurélien Géron. Hands-On Machine Learning with Scikit-Learn, Keras, and 
                      TensorFlow. 
                4.  Bharath Ramsundar, Reza Bosagh Zadeh. TensorFlow for Deep Learning. 
                5.  Brian McMahan, Delip Rao. Natural Language Processing with PyTorch: Build 
                      Intelligent Language Applications Using Deep Learning. 
            
                 COMPUTER VISION 
            
              Jan Erik Solem. Programming Computer Vision with Python. 
            
                 DOCKER CONTAINERS 
            
              Adrian Mowat. Using Docker. 
            
                 ONLINE COURSES 
                1.    Coursera | Machine Learning for Data Analysis. 
                2.  Coursera | Deep Learning Specialization. 
            
              A PLATFORM FOR COMPETITIONS AMONG DATA SCIENTISTS 
              www.kaggle.com 
               
               
               
               
             WE ARE WAITING FOR YOU! 
              
                                                                                                                        
                                                                                                                        
                                                                                                                        
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