Skills

1. Software programming
2. Distributed programming
3. OS, Networks & Security
4. Web programming

1. Supervised Learning
    - Linear models
    - Support Vector Machines
    - Decisions Trees
    - Random Forests
    - Ensemble Learning
    
2. Unsupervised Learning
    - Clustering (K-means, Gaussian mixtures)
    - PCA (Linear, Kernel, Sparse)
    - Self-Organizing Maps

1. Neural Networks (ANN, DNN, CNN, RNN, GAN, Auto-Encoders)
2. Computer Vision
3. Natural Language Processing
4. Representation & Generative Learning
5. Reinforcement Learning

1. Amazon Web Services (Sagemaker, S3, EC2)
2. Docker
3. Kubernetes

1. Hadoop
2. Spark
3. SQL

1. Statistics & Probabilities
2. Optimization
3. Bayesian Analysis
4. Data Assimilation
5. Numerical Optimization
6. Operations Research (simplex, game theory, simulated annealing, genetic algorithm)
7. Optimal Control
8. Graph Theory
9. Partial Differential Equations (finite elements/difference method)

1. Linear Programming
2. Iterative Methods for Linear Algebra
3. Large Scale Sparse Linear Algebra
4. Distributed & Parallel Programming
5. OpenMP