# Data Science Links

This post contains links to Data Science related material that I wanted to keep track of. As such, this post will be updated over time.

# Data Sets

# Resources

- Machine Learning Applications for Data Center Optimization
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
- Feature Construction Using EvolutionCOnstructed Features for General Object Recognition
- Exploring the Structure of High-Dimensional Data with HyperTools in Kaggle Kernels
- Simple reinforcement learning methods to learn CartPole
- Optimizing Gradient Descent
- Rohan & Lenny #1: Neural Networks & The Backpropagation Algorithm, Explained
- Rohan & Lenny #2: Convolutional Neural Networks
- Infrastructure for Deep Learning
- Understanding Convolution in Deep Learning
- The Reddit Ngram Viewer
- Deep Learning Reading List
- Orange
- guide to model stacking
- another guide to model stacking
- ensembling is mathematically justified
- bagging vs. boosting vs. stacking