Matching: Koalas On Fire — Part 2What is the optimal matching ratio? 1:1 matching or 1:multiple matching?Co-authored by Svitlana MidiankoCheck out Part 1 here.…
Continue Readingoptimal
A Gentle Introduction to Threshold-Moving for Imbalanced Classification
Classification predictive modeling typically involves predicting a class label. Nevertheless, many machine learning algorithms are capable of predicting a probability…
Continue ReadingA Gentle Introduction to the Bayes Optimal Classifier
The Bayes Optimal Classifier is a probabilistic model that makes the most probable prediction for a new example. It is…
Continue Reading6 Key Concepts in Andrew Ng’s “Machine Learning Yearning”
For tasks that humans are good at, you can compare your system’s performance to those of humans, which gives you…
Continue ReadingFinding the optimal dating strategy for 2019 with probability theory
It’s 1/N. And as n gets larger the larger timeframe we consider, this probability will tend to zero. Alright, you…
Continue Reading[ Archived Post ] Reinforcement Learning: A Survey
→ the agent should take into account the future as well → the reward overtime → , however, when the timestamp…
Continue ReadingThe Digital Fertilizer Challenge
It would become fertilizer for algae, which would take over the tank, and the fish would die. ” My kids…
Continue Reading10 Tips for Choosing the Optimal Number of Clusters
The cValid package can be used to simultaneously compare multiple clustering algorithms, to identify the best clustering approach and the…
Continue ReadingProbability theory and the optimal dating strategy for 2018
It’s 1/N. And as n gets larger the larger timeframe we consider, this probability will tend to zero. Alright, you…
Continue ReadingSpectral graph clustering and optimal number of clusters estimation
Next, we will provide an implementation for the eigengap heuristic computing of the optimal number of clusters in a dataset…
Continue Reading