In this episode I have the good fortune to spend some time with Chimène Bonhomme - A Data Scientist and Technical Solutions Professional at Microsoft New Zealand. Chimène lists a Masters of Information Technology, Business Intelligence and Data Science, as well as a Bachelor of Health Science, Medical and Molecular Biosciences as two of her many amazing achievements. In this episode I ask Chimène for her perspective on Data Science, Machine Learning and Artificial Intelligence, asking the question: How much data science is "enough to be dangerous"?
Show links:
- Microsoft Azure Machine Learning Studio
- Microsoft AI School
- Data Science Virtual Machines on Microsoft Azure
- Deep Learning with Python by François Chollet (O'Reilly)
- AI for Good with Microsoft Artificial Intelligence
- Seeing AI - Talking camera app for those with visual impairment
- Microsoft Soundscape - A map delivered in 3D sound
- Turing test (Wikipedia)
- With great power comes great responsibility (Wikipedia)
- Microsoft Fast Track for Azure
From Microsoft New Zealand, this is Azure Lunch. A podcast about Microsoft Azure in short digestible chunks, where we discuss cloud computing from a Kiwi perspective with Architects, Engineers and Technical specialists from around the world.
Azure Lunch is sponsored by Microsoft Fast Track for Azure - a team of Engineers and Program Managers dedicated to helping you to be successful in Azure. Learn more at Azure.com/FastTrack.
Thanks to SilverWHK for the use of his music in our podcast: https://silverwhk.bandcamp.com
Daniel Larsen and guests are employees of Microsoft. The opinions expressed in this podcast are their own and not an official company statement.