Articles

This article was written by James Le. Here is a brief summary. Link to the full article is provided at the bottom. Some techniques are… Read More »The 10 Statistical Techniques Data Scientists Need to Master

This article was written by Harsh Sikka. This version is a summary of the original article. Start with  Mathematics for Machine Learning Specialization on Coursera. If starting… Read More »The Math Required for Machine Learning

This article was written by Will Koehrsen. Full title: Automated Machine Learning Hyperparameter Tuning in Python – A complete walk through using Bayesian optimization for automated… Read More »Automated Machine Learning Hyperparameter Tuning in Python

This article was written by Moses Olafenwa. One of the important fields of Artificial Intelligence is Computer Vision. Computer Vision is the science of computers and… Read More »Object Detection with 10 lines of code

Can an ethical and algorithmically transparent cloud kitchen prevent future Amazon fires? We often view AI with suspicion – but AI can be used to… Read More »Can an ethical and algorithmically transparent cloud kitchen prevent future Amazon fires?

Machine learning is a hot topic in research and industry, with new methodologies developed all the time. The speed and complexity of the field makes… Read More »10 Machine Learning Methods that Every Data Scientist Should Know

I introduce here a family of very peculiar statistical distributions governed by two parameters: p, a real number in [0, 1], and b, an integer > 1. … Read More »A Strange Family of Statistical Distributions

Continued fractions are usually considered as a beautiful, curious mathematical topic, but with applications mostly theoretical and limited to math and number theory. Here we… Read More »Extreme Events Modeling Using Continued Fractions