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This VM provides out of box environment for learning, developing & deploying AI & Machine Learning applications using python AI & ML frameworks. It includes:
1.Preinstalled most popular AI & ML frameworks:
NumPy
SciPy
Scikit-Learn
Matplotlib
TensorFlow

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

3.Jupyter & IPython for interactive development
4.Jupyterhub : provides a multi user Jupyter environment.Create separate unix users and JupyterHub will provision separate notebook for each user.