You are a data scientist, software developer, data engineer, or financial data analyst, who wants to use Azure platform and Azure Machine Learning services for machine learning and building financial time series forecasts.
Francesca Lazzeri will walk you through the core steps for using Azure Machine Learning services to
train your machine learning models both locally and on remote compute resources. You will use the
training and deployment workflow for Azure Machine Learning service in a Python Jupyter
notebook. You can then use the notebook as a template to train your own machine learning model
with your own data.
Specifically, this tutorial will show how to generate stock market predictions with long short-term
memory (LSTM) networks: LSTM models can use the history of a sequence of data and correctly
predict what the future elements of the sequence are going to be. This is very helpful in many
different financial use cases, for example, when you need to model stock prices correctly.
Finally, you will learn how to deploy the model as a web service in Azure Container Instances (ACI). A
web service is an image, in this case a Docker image, that encapsulates the scoring logic and the
model itself. Each topic will include a lecture combined with hands-on exercises.
Francesca Lazzeri is an AI and machine learning scientist on the cloud developer advocacy team at Microsoft. Francesca has multiple years of experience as data scientist and data-driven business strategy expert; she is passionate about innovations in big data technologies and the applications of machine learning-based solutions to real-world problems. Her work on these issues covers a wide range of industries, including energy, oil and gas, retail, aerospace, healthcare, and professional services. Previously, she was a research fellow in business economics at Harvard Business School, where she performed statistical and econometric analysis within the Technology and Operations Management Unit and worked on multiple patent data-driven projects to investigate and measure the impact of external knowledge networks on companies’ competitiveness and innovation. Francesca is a mentor for PhD and postdoc students at the Massachusetts Institute of Technology and enjoys speaking at academic and industry conferences to share her knowledge and passion for AI, machine learning, and coding. Francesca holds a PhD in innovation management.
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