About
Everyone's talking about machine learning, and not long ago, we spent significant time setting up and building tools from scratch before data capturing and processing begins for ML. We've seen revolutionary changes in the hardware and software that are making ML accessible for any developer or data scientist. I'll step through the tools Google Cloud provides including data storage, data processing, APIs and TensorFlow. You'll have an understanding of what options exist in any cloud platform and real world applications.
About the speaker
Melanie Warrick is a Developer Relations Engineer for ML and the Cloud at Google and speaks frequently about AI and ML including co-hosting the weekly GCP Podcast. She was a founding engineer on a Java based deep learning platform prior to Google and worked on machine learning engineering at Change.org. In another life she had a comprehensive consulting career leading teams both domestic and international and before that she was working behind the scenes in the film industry. .
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The talk
Credits and licence
- Institution
- CERN
- Department
- CERN Computing Seminar
- Speaker
- Melanie Warrick
- Year
- 2018
- Language
- English
- Subjects
- Computer science
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed