We discuss a few ways of doing feature selection in ML. Unsupervised method Check the linear correlation among the features (without the label) Remove features
Category: machine learning
Explain the issues of Data Skew and Concept Drift in Production ML
These are the top 6 best seller machine learning books on Amazon, but are they worth it? Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow:
If you want to get serious in learning machine learning, these books are the classics that cannot go wrong. Pattern Recognition and Machine Learning by
Git is one of the most popular Version Control System (VCS). You might have encountered Git command cheat sheets and tutorials on how to checkout
I want to give a quick overview of the K-Nearest Neighbor (KNN) model for beginners into machine learning. What is KNN? It’s easy to describe
This tutorial introduces the Poison Process, and will give an quick tutorial to understanding 3 related distributions Exponential Distribution Poisson Distribution Gamma Distribution Exponential Distribution
The multi-armed bandit problem is a very interesting problem in statistics. This post will use this scenario to explain two topics: Beta Distribution Thompson Sampling
When I first learned about the Gaussian Process (GP), I have a hard time getting the intuition about it. From Wikipedia, the definition of GP
The KL (Kullback–Leibler) Divergence is frequently mentioned in the field of machine learning. It measures the similarity of the two distributions P and Q. But