Unfolding the universe of possibilities..

Dancing with the stars of binary realms.

Optimisation Algorithms: Neural Networks 101

How to improve training beyond the “vanilla” gradient descent algorithm Continue reading on Towards Data Science »

Detecting Power Laws in Real-world Data with Python

Breaking down a Maximum Likelihood-based approach with example code This is the 2nd article in a series about Power Laws and Fat Tails. In the previous post, I gave a beginner-friendly introduction to power laws and presented 3 problems with our

Two-Tower Networks and Negative Sampling in Recommender Systems

Understand the key elements that power advanced recommendation engines One of the most important types of models in recommendation systems at present is the two-tower neural networks. They are structured as follows: one part of the neural network (tower) processes

Command Line Interface with sysargv, argparse, docopts, and Typer

4 ways to pass arguments to your Python scripts Continue reading on Towards Data Science »

Exploratory Data Analysis: What Do We Know About YouTube Channels (Part 2)

Getting statistical insights using Pandas and the YouTube Data API Continue reading on Towards Data Science »

Overviewing the Global Chocolate Trade

Using network analytics to explore international trade data by UN Comtrade Continue reading on Towards Data Science »