In episode six of season two, we talk about how to build software for machine learning (and what the roadblocks are), we take a listener question about how to start exploring a new dataset, plus, we talk with Rob Tibshirani of Stanford University.

If you like this podcast, you may also be interested in:

• 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
• 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

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