# machine-learning-demystified **Repository Path**: bit2atom/machine-learning-demystified ## Basic Information - **Project Name**: machine-learning-demystified - **Description**: A weekly workshop series at ITP to teach machine learning with a focus on deep learning - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-08-25 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Machine Learning Demystified A weekly workshop series at NYU ITP to teach machine learning with a focus on deep learning ## Week1 ### Setup Environment #### 1) Install miniconda - Go to https://conda.io/miniconda.html - Choose Python 3.6 Mac OSX 64-bit (bash installer) and download #### 2) Open Terminal - Type: `bash /path/to/the/file/you/just/downloaded` - You can just drag the bash file you download into your terminal window from where you installed it   - Press `Enter` to continue - Review the license and approve the license terms - type in `yes` and press enter - Press `Enter` again to confirm the location of install - Type `yes` when it asks you if the install location should be prepended to PATH - Restart Terminal for changes to take effect - Type: `conda info` - If it prints out some stuff then it has installed correctly #### 3) Create an environment - Open Terminal - Type: `conda create -n tensor python=3.5.2` - Type: `y` (and press Enter) - This will create a conda environment with the name 'tensor' and python version 3.5.2 #### 4) Activate environment - Open Terminal - Type: `source activate tensor` - You should see (tensor) prepended before your terminal prompt #### 5) Install dependencies - Make sure you can see (tensor) prepended before the terminal prompt before proceeding - Type: `conda install numpy matplotlib jupyter` - Type: `y` (and press Enter) #### 6) Install Tensor Flow - In the same terminal window type: `pip install tensorflow` - If the above command gives an error (it shows up in red color in your terminal **only then** do the following): - Type: `pip install https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.0.0-py3-none-any.whl`