Kidbrooke releases an introduction to artificial neural networks

Kidbrooke, which designs APIs for wealth management, has released the first part in a series of articles around artificial neural networks (ANNs).

The first part is an introduction to artificial neural networks and can be read here.

It explores how machine learning can solve common problems within financial modelling, such as where a user must estimate the value of a function that requires a significant amount of computation to evaluate. For example, a function that corresponds to a so-called nested simulation aimed at estimating a capital requirement for a financial institution or the risk associated with a structural product for a retail investor.

Kidbrooke details an approach that leverages ANNs, which have also been used in image recognition and natural language processing. The first part introduces ANNs, what defines them and what to consider when training them.

Over the course of the article series, the WealthTech100 company will explain how the modern technique can potentially improve the accuracy of traditional methods.

The API developer has released a number of educational material over the year. It recently released a short video explaining how to improve customer-centric processes.

Read the full article here.

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