Diving into data

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Category: Data science

Monotonicity constraints in machine learning

September 16, 2018

In practical machine learning and data science tasks, an ML model is often used to quantify a global, semantically meaningful relationship between two or more values. For example, a hotel chain might want to use ML to optimize their pricing … Continue reading →

Posted in Data science, Machine learning | Replies: 19

Histogram intersection for change detection

February 28, 2016
The need for anomaly and change detection will pop up in almost any data driven system or quality monitoring application. Typically, there are set of metrics that need to be monitored and an alert raised if the values deviate from … Continue reading →
Posted in Change detection, Data science | Replies: 14

Who are the best MMA fighters of all time. A Bayesian study

December 22, 2015

Like with any sport, the question of who are the best competitors of all time in Mixed Martial Arts (MMA) is something that is hotly debated among MMA fans. And unlike for tournament based sports such as tennis, or sports … Continue reading →

Posted in Bayesian analysis, Data science, Machine learning | Replies: 20

7 tools in every data scientist’s toolbox

October 15, 2015

There is huge number of machine learning methods, statistical tools and data mining techniques available for a given data related task, from self organizing maps to Q-learning, from streaming graph algorithms to gradient boosted trees. Many of these methods, while … Continue reading →

Posted in Data science, Machine learning | Replies: 11

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  • Monotonicity constraints in machine learning
  • Random forest interpretation – conditional feature contributions
  • Histogram intersection for change detection
  • Who are the best MMA fighters of all time. A Bayesian study
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