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NEXT is a system that makes it *easy* to develop, evaluate, and apply active
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learning.
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**Talks** give a good brief introduction to NEXT at the highest level. If you're starting out, **please watch at least one of these talks**
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**Talks** give a good brief introduction to NEXT at the highest level. For scientists and develoeprs, **we most recommend the PyData Ann Arbor talk**. It's an enhanced and refined version of the SciPy talk.
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| Link | Audience | Length | Venue |
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| Venue | Audience | Length | Link |
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|:--:|:--:| :--:| :--:|
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| https://www.youtube.com/watch?v=rTyu4QTXZTc | Scientists and developers | 1 hour | PyData Ann Arbor |
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| https://www.youtube.com/watch?v=blPjDYCvppY | Scientific Python developers | 30 minutes | SciPy 2017 |
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| https://youtu.be/ESXgbZQ1ZTk?t=1732 | Machine learning researchers | 30 minutes | Simons Institute conference on Interactive Learning |
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| **PyData Ann Arbor** |**Scientists and developers** | 1 hour | https://www.youtube.com/watch?v=rTyu4QTXZTc |
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| SciPy 2017 | Scientific Python developers | 30 minutes | https://www.youtube.com/watch?v=blPjDYCvppY |
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| Simons Institute conference on Interactive Learning | Machine learning researchers | 30 minutes | https://youtu.be/ESXgbZQ1ZTk?t=1732 |
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We give more detail on the items on launching experiments and getting setup in the SciPy 2017 proceedings: http://conference.scipy.org/proceedings/scipy2017/pdfs/scott_sievert.pdf.
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