Who can see your viewing activity?
it is recorded though...
There are definitely potential new comers... to notably analyse biomedical or biological images
Are there any particular resources you would recommend for R users? Text books, Rstudio tuorials, or the keras manual pages?
In terms of image recognising obviously 100% recall is best but do you have a feel for what is 'commonly' or 'operationally' used.
Mark mentions the French plant team, more here: https://identify.plantnet.org/
I guess data cleaning might be important if you don't trust the tagging of your images!
Here is the go-to R tutorial pdf, though just google "keras R" (or "torch R") and you'll find 101 online tutorials:https://www.manning.com/books/deep-learning-with-r
Thanks for the link Mark!
This is the link of Jamboard
Gotta go, but thanks very much to the organisers for this session
Some form of ML hackathon
Slack coding link: leccodingands-vcb3119.slack.com
To me lots of examples of how ML is applied in environmental science would be helpful to get some inspiration for own projects with ML
blog sounds like a good idea
I think we may need a different link for the slack for people outside lec?
Anyone wants to join slack, please send an email to me: email@example.com
Henrys, Peter A.
thanks to chris - great job organising and hosting!
thank you! really useful :)
Thank you all for a great session