A collection of links related to Data Science and Machine Learning.

## Data Science

- Data science intro for math/phys background
- Overview of Data Science using Spark on Azure HDInsight
- How Kalman filters work
- K-nearest neighbors from scratch

## Machine Learning

- How to evaluate Machine Learning models: Orientation
- How to evaluate Machine Learning models: Classifacation Metrics
- How to evaluate Machine Learning models: Ranking and Regression Metrics
- How to evaluate Machine Learning models: Validation and Offline Testing
- How to evaluate Machine Learning models: Hyperparameter Tuning
- How to evaluate Machine Learning models: The Pitfalls of A/B Testing
- Sentiment analysis in five lines of Python
- Machine Learning 101: What is regularization?
- An overview of gradient descent optimization algorithms

## Deep Learning

- An introduction to Deep Learning and its role for IoT/future cities
- Deep Learning terms explained in simple English
- Deep Learning for beginners
- Step-by-step video courses for Deep Learning and Machine Learning
- Deep Learning: Intelligence from Big Data
- Implementing a distributed Deep Learning network over Spark
- Deep Learning and XgBoost
- Evolution of Deep learning models
- Is Deep Learning a Markov chain in disguise?
- Deep Learning applications for smart cities
- 15 Deep Learning libraries