Francesca Lazzeri and Jen Ren 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’ll use the training and deployment workflow for the Azure Machine Learning service in a Python Jupyter notebook and then use the notebook as a template to train your own machine learning model with your own data. Each topic will include a lecture combined with hands-on exercises.
Specifically, you’ll learn 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’ll discover 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.
Francesca Lazzeri is Senior Machine Learning Scientist on the cloud developer advocacy team at Microsoft. Francesca has multiple years of experience as a 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 currently 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.
Jen Ren is a program manager at Microsoft, focused on creating data wrangling tools for AI datasets. She studied health policy and computer science at Stanford University, where she was also part of the Data Challenge Lab.
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