I have used the Python data manipulation package Pandas daily and professionally for the last six years, but I’ve never… Read more: Book Review: The Pandas Workshop

Most people have dreamt about what the future looks like, but that future is already here for Hesham Dar – a Data Scientist and AI practitioner in Samsung Research. We talked with Hesham about how science fiction coloured his view on AI and how he wanted to be a part of developing the technology he saw on television shows such as Star Trek.

Thinking up new ideas and theories before technology can support them requires imagination, vision, and an open mind. This article… Read more: How Science Fiction inspires scientists

Jeff Hawkins newest book A Thousand Brains: A New Theory of Intelligence discusses how the brain uses map-like structures to… Read more: Reflections after reading A Thousand Brains: A New Theory of Intelligence

PCA and LDA are two popular dimensionality reduction methods commonly used on data with too many input features. In many… Read more: Comparison between PCA and LDA

With people being urged to stay at home during the Covid-19 outbreak, gyms closed, and social distancing measures in place,… Read more: Quantifying Londoners change in fitness habits during lockdown

Fitbit has improved its online data exporting tool to allow export of all the accumulated data, a big step up… Read more: Tutorial: Making sense of Fitbits’s JSON export

This blog post presents an automated machine learning approach in Python to create a stress monitoring system with data from… Read more: Tutorial: Stress detection with wearable devices and Machine Learning

Here are some links to quantum computing related books I’ve found very useful. Note that these are affiliate links, and… Read more: Recommended Quantum Computing Books

Quantum teleportation sounds like science fiction but is a fully working communication protocol to teleport a quantum state from one… Read more: Tutorial: Quantum Teleportation in Python

Quantum computers might sound a bit exotic and far into the future, but in reality, they are now accessible in… Read more: Tutorial: Getting started with Quantum Computing in Python

Naïve Bayes and Logistic regression are two popular models used to solve numerous machine learning problems, in many ways the… Read more: Comparison between Naïve Bayes and Logistic Regression

Tube strikes are an unavoidable part of the London life for better or worse, and back on Monday 9th of… Read more: Quantifying Londoners discontent towards Tube strikes using NLP

Machine learning is about learning from dataThe first thing to know about machine learning is that it’s often referred to… Read more: Three things to know about machine learning

Heart Rate Variability (HRV) is a measure of the time interval between each heart beat and is a measure that… Read more: Reading RR intervals from EliteHRV with Pandas

Within the recent decades, and even centuries undertakings done by humans have seen automation and machine replacements. The affected people… Read more: Fear not – AI won’t take over in the imminent future

Challenges such as data quality, models, algorithms, processing power and processing speed are well spoken challenges within data science, but… Read more: Ethical challenges that Data Science faces