Introducing key elements of creating innovative machine learning⁠–driven predictions trained on market data. The Wolfram Language will be used throughout the presentations so that you can focus on high-level concepts rather than computational details.

Agenda: (UK Time)

18:30 Intro

18:35 Talk 1 + Q&A: Zero to Neural Networks by Jon McLoone

The first session will introduce the practical steps needed to use or retrain neural networks and the basics of creating your own. It will assume no prior knowledge, but will leave you with working knowledge of machine learning techniques for making predictions from text, data and sequences.

Neural networks are the key technology behind the current artificial intelligence revolution. This talk will present a practical introduction to building, training and deploying your first neural network. It will explain key concepts and show the entire process for constructing simple custom neural networks and for adapting and re-purposing existing ones.

The talk will assume no knowledge beyond basic coding skills. Using the Wolfram Language to automate as much as possible, the talk will focus only on those aspects that are necessary for getting the job done—there will be no discussion of internal details like gradient descent or matrix dimensionality! Examples will include computer vision, sequence prediction and classification.

19:15 Talk 2 + Q&A: Computing with Bloomberg Data in the Wolfram Language by Mark Braithwaite

One key step in a financial engineering data science workflow is feeding models with automated access to reliable market data. The combination of the powerful computation, visualisations and modelling capabilities built into the Wolfram Language enables actionable insights to be extracted from this data. This talk will explain how to ingest raw financial data from Bloomberg, Reuters and Wolfram|Alpha sources into the Wolfram Language in real-time for analysis, starting with the complete basics of data access, building up to the development of a small example application.

https://www.eventbrite.co.uk/e/free-webinar-making-predictions-from-financial-data-tickets-108960646226?aff=ebdssbdestsearch