## Why companies prefer hiring PhDs

Many companies have ‘PhD in e.g. computer science, machine learning, maths or [insert quantitative discipline]’ in their minimum qualifications for data scientists, machine learning scientists or quantitative researchers. Why is this so? Here are a few of their responses: PhDs bring real expertise in their areas. We need expertise in cutting-edge methods and technologies and it’s unlikely that people who haven’t … Read More

## Social Choice Theory Parts 1-3: A Summary (Stanford Encyclopaedia of Philosophy Article by Christian List)

In this post I outline what was included in the first three parts of the Social Choice Theory entry (written by Christian List) in the Stanford Encyclopaedia of Philosophy. Unless otherwise labelled by ‘Thoughts:’, all content is paraphrased or quoted from List’s article. 1 Social Choice Theory is The study of collective decision processes and procedures. Concerns the aggregation of individual inputs … Read More

## What does the Lagrange Multiplier mean?

Note: The crux of this post really is in talking about the Lagrange Multiplier, so scroll down to ‘The Lagrange’ for that. What is a constrained optimisation problem? Suppose we want to maximise our own utility (our enjoyment) but have a limited amount of resources (time and money, say) we can use to do that. Or say I want to … Read More

## Discovering and Curating Data on Data.World

To solve problems – particularly if you want to use statistical approaches or AI – you need data. Data is evidence or descriptive information. We usually deal with quantitative data or quantitative representations of e.g. text or images because they are easier to handle. The good news is there’s tons of data out there. The bad news is it’s often hidden … Read More

## What is a Game Theoretic Best Choice? Part I

The aim of this series is to come up with some formalisation of what a game theoretic best choice is without reference to established results before the material is covered in lectures. I will then compare my formalisation to established results. Notation In Dr. Elliott’s lectures we defined a Nash Equilibrium to be when for all and for all . stands … Read More

## Analyse Text and CSVs easily with DataBasic.io

In today’s post I’m going to explore a fun data analysis tool for beginners – DataBasic.io. I had a great time trying it out – you should have a go too! DataBasic performs simple but insightful operations on data. No technical expertise (beyond being able to navigate a webpage) is required. DataBasic comprises three tools to help you understand textual and … Read More

## Machine Learning in Trading – Project Takeaways

Jessica YungData Science1 Comment

People have used machine learning in trading for decades in order to learn how to be successful at online stock trading. Hedge funds, high-frequency trading shops and sole traders use all sorts of strategies, from Bayesian statistics to physics related strategies. In my final project for Udacity’s Machine Learning Nanodegree, I investigating using machine learning in trading stocks, specifically to … Read More