| 32 |   | Go through WINLAB orientation (TBD) | 
          
          
            | 33 |   | Reading for next time: | 
          
          
            | 34 |   | PPA Chapters 1 and 2 | 
          
          
            | 35 |   | Coding: | 
          
          
            | 36 |   | install python (via Anaconda or something else) | 
          
          
            | 37 |   | go through the interactive intro to python online or by downloading the notebook | 
          
          
            | 38 |   | Review the basics of Python linked from the UT Austin site to learn basic syntax, flow control, etc. | 
          
          
            | 39 |   | Week 2: | 
          
          
            |   | 32 | - Go through WINLAB orientation (TBD) | 
          
          
            |   | 33 | - Reading for next time: | 
          
          
            |   | 34 | - PPA Chapters 1 and 2 | 
          
          
            |   | 35 | - Coding: | 
          
          
            |   | 36 | - install python (via Anaconda or something else) | 
          
          
            |   | 37 | - go through the interactive intro to python online or by downloading the notebook | 
          
          
            |   | 38 | - Review the basics of Python linked from the UT Austin site to learn basic syntax, flow control, etc. | 
          
          
            |   | 39 | *Week 2: | 
          
        
        
          
            | 42 |   | Basics of pattern recognition and Machine Learning (PPA - Patterns, Predictions, Actions) | 
          
          
            | 43 |   | set up an instance using pytorch on an Orbit node | 
          
          
            | 44 |   | Created a node image with Pytorch | 
          
          
            | 45 |   | Basics of Pytorch | 
          
          
            | 46 |   | Created small Machine Learning models | 
          
          
            | 47 |   | Loaded the Modified National Institute of Standards and Technology (MNIST) database onto the node | 
          
          
            |   | 42 | - Basics of pattern recognition and Machine Learning (PPA - Patterns, Predictions, Actions) | 
          
          
            |   | 43 | - set up an instance using pytorch on an Orbit node | 
          
          
            |   | 44 | - Created a node image with Pytorch | 
          
          
            |   | 45 | - Basics of Pytorch | 
          
          
            |   | 46 | - Created small Machine Learning models | 
          
          
            |   | 47 | - Loaded the Modified National Institute of Standards and Technology (MNIST) database onto the node |