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Talking Machines: Spark and ICML, with Sinead Williamson
Source: Pexels/CCO
In episode eleven of season two, we talk about the machine learning toolkit Spark and answer a listener question about the difference between Neural Information Processing Systems (NIPS) and International Conference on Machine Learning (ICML). Plus, we speak with Sinead Williamson from The University of Texas at Austin.
If you like this podcast, you may also be interested in:
- Talking Machines: Women in Machine Learning, with Hanna Wallach
- Talking Machines: Gaussian processes and OpenAI, with IIya Sutskever
- Talking Machines: Real human actions and Women in Machine Learning (WiML), with Jenn Wortman Vaughan
- Talking Machines: Machine learning in healthcare and the AlphaGo matches
- Talking Machines: AI safety and the legacy of Bletchley Park, with Nick Patterson
- Talking Machines: Robotics and machine learning music videos, with Michael Littman
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tags: machine learning, Sinead Williamson, Talking Machines
Talking Machines
is your window into the world of machine learning.
Talking Machines
is your window into the world of machine learning.
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