The frequency distribution of words and its character positions can possibly reveal more information to help one optimize the search for the correct answers. — Like most of you, my social media feed was recently filled with strange-looking green, black, and yellow squares with Wordle scores. I had no idea initially what it was but the continual floods of it made me curious enough to find out what the hype was all about.

Singapore celebrates 55 years of independence on 9 August 2020. Emotions and camaraderie are usually high during this period, as we are reminded of our shared values. This is an attempt to pen down my thoughts of what it means to be a Singaporean. #TogetherStrongerSG — Disclaimer: This article is meant to be apolitical and has no intentions to take a skewed view on matters. Any interpretation to the contrary is not intended.

In the second part of this series, we will discuss how the neural network learns through forward and backward propagation to update the weights and biases to fit to the training data. These can then be used to predict future data that it has not seen before. — In Part 1 — Using the right dimensions for your Neural Network, we discussed how to choose a consistent convention for the vector and matrix shapes in your neural network architecture. …

When building your Artificial Neural Networks, one of the frustrating bugs is getting the shape of the vectors and matrices wrong. This is a brief guide to understand the underlying math operations, and shed some light on the dimensions to pass in. — Updated — 8 August This series has been simplified to a 3-part series. Objective If you are just embarking on Machine Learning, you would have come across basic models such as sequential networks. …

The future is uncertain — but different groups have been taking a guess at what the future holds. While there is talk of a digital future, is it all that it promises? Are there pitfalls we need to watch out for? Introduction We have been inundated by daily news of the…