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

• 1. Preinstalled most popular AI & ML frameworks
• NumPy
• SciPy
• Scikit-Learn
• Matplotlib
• 2. Demos
Working demos based on the book “Python Machine Learning, 2nd Ed“ By Raschka, Sebastian, & Vahid Mirjalili.Demos include:

• Machine Learning - Giving Computers the Ability to Learn from Data
• Training Machine Learning Algorithms for Classification
• A Tour of Machine Learning Classifiers Using Scikit-Learn
• Building Good Training Sets – Data Pre-Processing
• Compressing Data via Dimensionality Reduction
• Learning Best Practices for Model Evaluation & Hyperparameter Optimization
• Combining Different Models for Ensemble Learning
• Applying Machine Learning to Sentiment Analysis
• Embedding a Machine Learning Model into a Web Application
• Predicting Continuous Target Variables with Regression Analysis
• Working with Unlabeled Data – Clustering Analysis
• Implementing a Multi-layer Artificial Neural Network from Scratch
• Parallelizing Neural Network Training with TensorFlow
• Going Deeper: The Mechanics of TensorFlow
• Classifying Images with Deep Convolutional Neural Networks
• Modeling Sequential Data Using Recurrent Neural Networks
• 3. Jupyter for interactive development
• 4. Jupyterhub
• This 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
• Visual studio code