veyepar: So What's the Story?

Author(s):	Kerryn Gammie
Location	Baobab
Date	oct Fri 12	Days Raw Files
Start	09:15	First Raw Start	08:54
Duration	00:45:00	Offset	0:20:31
End	10:00	Last Raw End	10:24
Chapters	00:00 0:01:36 0:31:35
Total cuts_time	37 min.

https://za.pycon.org/talks/64-so-whats-the-story/
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<h2>As the world's data grows, so does its aptitude for AI.</h2> 
In the context of business, however, translating black-box-magic into something more accessible for business-users to engage with is tricky. While this speaks to a larger problem of upskilling and making education more accessible, one method of translation is through story telling.

I learn best when an <strong>idea is relatable, simple, and colourful</strong>. This talk is going to look at how to convey complex ideas simply.  I'm going to be covering two sections:

<ul>
    <li>1. That's So Random (Forests)!</li>
    <li>2. You Gotta (Neural) Network to Get Work</li>
</ul>

I'll run through the high level concepts and methodologies, and then show the work/code that was done to create a random forest, and a neural network. Note: this will cover how I built the RF, and NN using Python via Jupyter Notebook.

This session is for anyone who uses/wants to use ML to solve problems but struggles with translating the black-box-magic. 
It's going to be an engaging, and slightly animated, talk with the intention of reinforcing concepts and showcasing different ways of explaining them.

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production notes

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2018-10-12/08_54_29.ts Apply: 09:22:53 - 09:24:29 ( 00:01:36 ) S: 08:54:29 - E: 09:24:29 D: 00:30:00 (Start: 1704.0) show more...

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2018-10-12/09_54_29.ts Apply: 10:05:03 - 10:05:12 ( 00:00:09 ) S: 09:54:29 - E: 10:24:28 D: 00:29:59 (Start: 634.0) (End: 643.0) show more...

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