All posts tagged with 'machine learning'
This post describes our approach to fine-tuning a BERT model for multiclass categorisation with Hugging Face and Amazon SageMaker. Continue reading
Introduction For the past year, FreeAgent has been running a machine learning model in production that categorises customer bank transactions. This model takes transaction descriptions and transaction amounts as inputs, and attempts to predict the corresponding accounting category. This summer, I joined the data science team with the more specific goal of increasing model generalisation, which would allow it to make predictions for a larger fraction of incoming transactions. One… Continue reading
A company faces some unavoidably arduous tasks when taking control of their finances. One such task, which currently takes up a lot of time for our users, is explaining bank transactions. This is the process of assigning an accounting category to transactions, which is important both for internal reports generated by FreeAgent and for external submissions, for example to HMRC. At the end of June FreeAgent launched a suite of… Continue reading
For the past few weeks I’ve been working on building a machine learning model that can estimate the probability that a customer will convert from the free trial to a paid subscriber. In practice, I combine the predictions from this model for cohorts of companies, which are defined by their acquisition channel and acquisition month, and so a method is required for calculating the conversion rate uncertainties for each cohort.… Continue reading
As the end of my second year at university was approaching I knew I needed to get some real-world experience to help me get a clearer vision of what career path I want to follow in the future. The best way of achieving this was getting a summer internship. After reading some blog posts of past Interns at FreeAgent (who knew I would be writing one myself a few months… Continue reading