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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