AI Odyssey

Distance Metrics in Machine Learning

Understanding Distance Metrics in Machine Learning

ROC model and AUC

Imagine that you’ve just built your machine-learning model to recognize a certain pattern and make predictions, but you don’t…

How a Machine Learns: Loss Functions and Gradient Descent

Confusion Matrices and Hypothesis Testing

Say we are a pharmaceutical company that wants to roll out a new drug to treat a…

Overview on Probability Distributions

What is a probability distribution?
A probability distribution is a statistical function that…

Clustering and the k-means algorithm

Clustering and k-means, general idea and real life example

Overview of Unsupervised Learning

What is unsupervised learning?

SIMILARITY LEARNING IN MACHINE LEARNING

Similarity learning is an area of supervised machine learning. Different from other…

XGBoost — eXtreme Gradient Boosting:

What is XGBoost?