diff --git a/content/posts/2019-10-06-bootstrapping-the-right-way/index.md b/content/posts/2019-10-06-bootstrapping-the-right-way/index.md index 66e09685e..9e3bd1c2a 100644 --- a/content/posts/2019-10-06-bootstrapping-the-right-way/index.md +++ b/content/posts/2019-10-06-bootstrapping-the-right-way/index.md @@ -17,10 +17,9 @@ tags: --- _Bootstrapping the right way_ is a talk I gave earlier this year at the YOW! Data conference in Sydney. You can now watch the video of the talk and have a look through [the slides][1]. The content of the talk is similar to [a post I published on bootstrapping pitfalls][2], with some additional simulations. -[//]: # (
) -[//]: # ( {{< youtube id="2wZXejYz-e0" >}}) -[//]: # (
) -Update (2024-04-22): There used to be a YouTube embed here, but the video was taken down. :( ++ {{< youtube id="9SwvIqEQXP0" >}} +
The main takeaways shared in the talk are: diff --git a/content/presentations/index.md b/content/presentations/index.md index 7528892ee..05e6777cb 100644 --- a/content/presentations/index.md +++ b/content/presentations/index.md @@ -20,7 +20,7 @@ Just a list of some talks I've given, saved here for future reference and for ge * [Data ethics – beyond curve fitting](https://docs.google.com/presentation/d/1vi0YKxmevanE8zA6u2ZuA835boSXKMa-Su8LZmLA7EA/edit) (given as part of a local fast.ai course in June 2021; see [video](https://www.youtube.com/watch?v=P1ebqJ4ZIEI) and [post](https://yanirseroussi.com/2021/11/22/use-your-human-brain-to-avoid-artificial-intelligence-disasters/)) * [Moving Automattic to net zero carbon emissions](https://www.youtube.com/watch?v=tMFr_agPLJY) (PublishPress interview from November 2020) * [Running remote data teams](https://www.youtube.com/watch?v=79LfP8Kqgvw) (Data Futurology webinar from June 2020) - * Bootstrapping the right way (presented at YOW! Data 2019; also available as a video) + * Bootstrapping the right way (presented at YOW! Data 2019; also available as a video) * A day in the life of a remote data scientist (presented at Data Science Sydney meetup 2019; also available as a video) * Ask Why! Finding motives, causes, and purpose in data science (presented at MeDaScIn 2016 and at [Data Science Sydney][1] meetup 2016; also available as [a blog post][2] and as a video) * The hardest parts of data science (presented at Sydney Data Science Breakfast meetup 2015; also [available as a blog post][3])