Training - Machine Learning in Financial Services, London

This free, one-day training for professionals working in financial services gives insight into machine learning, its applications in the industry, and an opportunity to gain practical experience using Google Cloud Platform.

Who we are:

At Datatonic, we design cutting-edge machine learning models that help companies understand customers, deliver tailored product recommendations, and predict behaviour across platforms, devices and geographies. Our specialities include recommender systems, propensity scoring, NLP, predictive analytics, IoT data analysis, hyper-segmentation, and geospatial analysis. As Google Cloud's Premier Partner specialised in Machine Learning, we have delivered innovative solutions to many of Google’s top clients and leaders in the retail industry.

Why you should join:

Human behaviour is measured in many ways, but perhaps the most telling insights stem from how we spend money – our motives are clearest when backed up by currency.

Now more than ever, each monetary decision is recorded through card and online payments, resulting in a wealth of data that, we hope, carries valuable information.

Data scientist's can organize and interpret the data in a way that leads to better understanding. However, often the tools needed to get the most out of complex data can themselves be complex. Particularly when the data in question are not neat tables of figures but instead sequences, relations, and text.

Some areas where machine learning can add value in finance include:

• Fraud detection
• Risk management
• Customer behaviour analysis
• Process automation

For example, capturing the affinity between customers and products allows for better suggestions to help customers towards their next purchase – machine intelligence can automatically find what makes a good match.

This workshop aims to help make the practice of machine learning less daunting, and empower you to use cutting-edge techniques when the need arises.

Expected audience:

This workshop is designed for professionals in the financial services industry, to get them more comfortable with machine learning. It is ideal for people who have heard or read about machine learning and its benefits, and who might have done one or two small projects with neural networks, but are not yet confident to build a production-scale solution.

This is also a good workshop to attend for a ‘big picture’ of how machine learning can be applied in the financial data landscape. Participants will leave with an understanding of the tools at their disposal, and an appreciation of how to map existing methods onto their problems.

Prerequisites:

1.) Comfortable with Python

2.) Ability to bring your own laptop

If you’re unsure whether the workshop is for you, please feel free to drop us an email at events@datatonic.com and we'll be happy to advise.

Speakers:

Will Fletcher (Lead) - Machine Learning Researcher

Oliver Gindele - Head of Machine Learning

Sam Guerriero - Machine Learning Engineer