Shane is CEO and co-founder of EdgeTier, and blogs about python and data science at his own personal website. EdgeTier revolutionises the efficiency of customer service departments using machine learning and data science techniques.

Word Embeddings in Python with Spacy and Gensim

This post shows how to load, use, and make your own word embeddings using Python. Use the Gensim and Spacy libraries to load pre-trained word vector models from Google and Facebook, or train custom models using your own data and the Word2Vec algorithm. This post is a direct follow-on from the introductory Word Embeddings post, and will show you how to get started using word vectors with your own models and systems.

Get Busy with Word Embeddings – An Introduction

This post provides an introduction to “word embeddings” or “word vectors”. Word embeddings are real-number vectors that represent words from a vocabulary, and have broad applications in the area of natural language processing (NLP). We examine training, use, and properties of word embeddings models, and look at how and why you should look to use word embeddings over older bag-of-words techniques in your data science and language modelling tasks.

Using big data to create better mobile video games

A lot of modern-day games, especially the ones being developed for mobile, are built on business models revolving around data. Understanding how the audience thinks and responds with a product, as well as knowing how retention works in gaming, are both important in paving the way for the future of gaming.