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This VM provides out of box environment for learning, developing & deploying AI & Machine Learning applications using Pytorch . Key highlights include:

1. Preinstalled most popular AI & ML frameworks:
Pytorch
NumPy
SciPy
Scikit-Learn
Matplotlib


2. Working demos based on “Python Machine Learning, 2nd Ed“ By Raschka, Sebastian & Vahid Mirjalili. Demos include:
   1. Machine Learning basics
   2. Training Machine Learning Algorithms for Classification
   3. A Tour of Machine Learning Classifiers Using Scikit-Learn
   4. Building Good Training Sets
   5. Compressing Data via Dimensionality Reduction
   6. Learning Best Practices for Model Evaluation & Hyperparameter Optimization
   7. Combining Different Models for Ensemble Learning
   8. Applying Machine Learning to Sentiment Analysis
   9. Embedding a Machine Learning Model into a Web Application
   10. Predicting Continuous Target Variables with Regression Analysis
   11. Working with Unlabeled Data – Clustering Analysis
   12. Implementing a Multi-layer Artificial Neural Network from Scratch
   13. Parallelizing Neural Network Training with TensorFlow
   14. Going Deeper: The Mechanics of TensorFlow
   15. Classifying Images with Deep Convolutional Neural Networks
   16. Modeling Sequential Data Using Recurrent Neural Networks
3. Jupyter for interactive development
   
4. Jupyterhub : provides a multi user Jupyter environment.
   Create one Linux account for each of user&there will be separate Jupyter environment created for that account. More details here
   
5. Other goodies:
* Remote desktop
* Fish : a smart & user-friendly command lineshell for Linux with command auto completion & auto suggestion
* Visual studio code IDE for development