Imperial/Oxford CDT Workshop
Advanced Computational Training
for StatML Center for Doctoral Training at Imperial and Oxford
May 13th, 2021
Welcome to Microsoft Azure Training!
This training is delivered in mixed online/offline format. On the actual date of the event (May 13th), we will only do Q&A sessions (where we would expect questions from the audience) and a couple of hands-on master classes. It is important to go through pre-recorded materials prior to the date of the event. Join online activities to have all your questions answered and to get some hands-on experience with Microsoft Azure.
In order to take part in practical workshops, you need Microsoft Azure Account. Different ways to get Azure account are described here.
Agenda
| Title | Presenter | Pre-recorded materials | Online Activity | Time (BST, UTC+1) | Link |
|---|---|---|---|---|---|
| Introduction to Azure Cloud | Dmitry Soshnikov | 30 min lecture | 60 min Analyzing COVID Papers using Text Analytics for Health | noon - 1pm | Teams, Git |
| Using Apache Spark / Databricks for Big Data Processing in the Cloud | Adi Polak | 30 min video, Optional: Apache Spark Learning Path | 15 min Q&A | 1pm-1:15pm | Teams |
| Deep Learning Fundamentals with PyTorch | Dmitry Soshnikov | PyTorch Learning Path, GitHub Repo | 30 min Q&A | 1:15pm-1:45pm | Teams |
| Developing Web-based End-to-End ML Solutions | Chris Noring | 1hr video | 15 min Q&A | 1:45pm-2pm | Teams |
| Azure Machine Learning for all your ML needs | Dmitry Soshnikov | 30 min Intro Video, 30 min Azure ML Case Studies | 60 min Azure ML Workshop | 2pm-3pm | Teams, Git |
| Machine Learning for Time series forecasting | Francesca Lazzeri | 30 min video | 30 min Q&A | 3pm-3:30pm | Teams |
| What’s New with Azure Cogntive Services: Text Analytics for Health, Form Recognizer and more | Ayşegül Yönet | 30 min video | 1 min Q&A | 3:30pm-3:45pm | Teams |
| Using Git and GitHub for Scientific Collaboration | Ornella Altunyan | Blog Post | 15 min Q&A | 3:45pm-4pm | Teams |
Live Document
To collaborate with us and with each other during the session, please use live document at http://aka.ms/livedoc
Speakers
Francesca Lazzeri
Francesca Lazzeri is an AI & Machine Learning Scientist. 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. Before joining Microsoft, she was Research Fellow in Business Economics at Harvard Business School, where she performed statistical and econometric analysis within the Technology and Operations Management Unit. At Harvard Business School, she 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.
Dmitry Soshnikov
Dmitry has been working at Microsoft for 14 years, in Technical Evangelism, and in Software Engineering roles. As Cloud Developer Advocate, he works with top universities in US and Europe, leads Student Ambassador AI/ML League, and develops content, both for Microsoft Learn and other platforms. He is also an Associate Professor at MIPT, HSE and MAI in Moscow, where he teaches courses on Functional Programming and AI.
Chris Noring
Chris Noring is a Google Developer Expert and Telerik Developer Expert. He is the author of “RxJS Ultimate”, “Learning Angular” (2nd edition) and “Architecting Angular Applications with NGRX”.
Adi Polak
Adi is a Senior Cloud Developer Advocate focusing on Big Data and Serverless on the Azure platform. She does extensive work in the Big Data and Functional programming communities. Adi has an extensive background in software development. She holds an M.sc in Software and Information Systems Engineering from Ben Gurion University, during her studies she worked with IBM and Deutsch Telekom Research labs on various projects where she gained expertise in ML.
Ayşegül Yönet
Ayşegül Yönet is a Senior Azure Cloud Developer Advocate at Microsoft and focuses on Cognitive Services, Spatial Computing and WebXR. She is a co-chair of W3C Immersive Web Working Group and Community Group working on WebXR Device APIs and a Google Developer Expert for Web Technologies. She co-hosts the San Francisco WebXR Meetup and enjoys teaching at a variety of non-profit organizations, aiming to increase diversity in the software industry. She is the co-founder of Code4Good, an organization with the vision of helping people to contribute to open source. Previously she led Women Who Code meetups, Girl Develop It and Black Girls Code workshops and was a CTO at AnnieCannons, a bootcamp dedicated to teaching tech skills to human trafficking survivors. Lately she enjoys creating tutorials for WebXR, AysSomething, XR Developer YouTube channels and FrontEndMasters.
Ornella Altunyan
Ornella Altunyan is a Cloud Advocate for Microsoft based in San Francisco, California. She’s worked on multiple technologies during her time at Microsoft, including Mixed Reality and Visual Studio Code. She holds a BA in Computer Science and Digital Media Studies from Pomona College. Ornella is passionate about using technology and design thinking for social good, as well as making computer science education accessible to all communities. She mentors first-generation and low-income college students who want to pursue computer science careers.