Unfortunately very poor audio quality. Over the whole video, hard to stand.
@desilveria679910 күн бұрын
Thanx for the video...help me a lot
@fizzbanning523216 күн бұрын
Thank you for the great presentation and explanation!
@djangoworldwide792518 күн бұрын
🦀 rusty
@user-mi1gq2no6n23 күн бұрын
Great presentation
@PolDellaiera27 күн бұрын
Cool to see Nix stuff in Lux :)
@newbestofthis442228 күн бұрын
Amazing thanks for the presentation
@alirezasadeghi297529 күн бұрын
Great. Do you share the code for the revealjs?
@brodriguesco29 күн бұрын
Really great talk! And thank you for mentioning my book :)
@davidbosak7503Ай бұрын
Also very curious about his comments on LLMs. He's right. An LLM is not creative. And will probably never replace humans at the high level stuff.
@pengzhang1263Ай бұрын
Thanks for this quote, can you help advise which part in this video Hadley said that? Around which timepoint
@davidbosak7503Ай бұрын
@@pengzhang1263 LLM discussion starts at 21:50.
@davidbosak7503Ай бұрын
Very interested in nanoparquet. I had the same complaint about arrow. Big package with a lot of functionality and a lot of dependencies. Would appreciate a lightweight package to read and write parquet files!
@davidbosak7503Ай бұрын
One of the most productive people in the world! He's even debugging during the interview!
@davidbosak75032 ай бұрын
This was such a great interview. Thanks for conducting this, Audrey! I always like to hear from primary sources. And here you have two of the founding members of the R community. They have such insightful comments!
@pavlobilinskyi7754 ай бұрын
Thank you so much for the introduction and for open code!
@mcrosignani7 ай бұрын
Emil, thank you, I don´t know if you would read this... but maybe someone could answer. I have a theoretical doubt, wouldn't it be better to convert to factor after having the factor type predictor variables separated in the split? that way the levels that the variable in train knows would not be informed by the levels that test knows they could take.
@niceday20159 ай бұрын
Thank you very much🎉
@creativeclanpictures29309 ай бұрын
Thanks for the tutorial I am using adehabitatHR, sp and other related spatial package to calculate Home range of individual species through adehabitatHR I am able to generate the MCP and Kernel density home range of individuals. But the output of area calculation is very low e-9 I used the UTM projection for zone 45N please help me.. Even when I change the projection to WGS84 the area remains the same Can you tell me what is wrong
@tarasst688710 ай бұрын
🎉🎉🎉🎉🎉
@ernestomatamoros2438 Жыл бұрын
gracias por este video, me queda bien claro el uso de ggplot. con muchos detalles
@Jaji1948 Жыл бұрын
Thanks for this! Very useful.
@victoramericoperezgibaja4984 Жыл бұрын
Podrían compartir por favor el material del taller
@optimism90 Жыл бұрын
interested in how is this compared to a naive regression based approach?
@tarasst6887 Жыл бұрын
Super video
@suenolte5060 Жыл бұрын
(MRAN) website and CRAN Time Machine will be retired on July 1, 2023.
@GustavoMontanha Жыл бұрын
amazing tutorial - thank you all - Rahul and Ramin in particular
@temesgenfekadie519 Жыл бұрын
we want to know from the beginning . it start after some video parts passed away
@84mallick Жыл бұрын
it's very useful for beginners. Thanks, Rahul, so nice hands-on tutorial
@glenberman6003 Жыл бұрын
Thanks for uploading this -- very useful content.
@lalitb Жыл бұрын
Please attache dataset here also.
@f2harrell Жыл бұрын
Newer versions of the slides/handouts are at hbiostat.org/rmsc
@f2harrell Жыл бұрын
Session starts at 13:20
@vikasmishra4485 Жыл бұрын
Its very useful presentation. Thanks alot. I am looking for the heterogenous treatment effect using DML. Please let me know if you have any resources for heterogenous treatment effect estimation.
@WhySoBroke Жыл бұрын
Most excellent!!
@yuzhu2547 Жыл бұрын
Thank you for the walk through!
@HarmonicaTool Жыл бұрын
1:30 Knowledge catalogs with TKCat 19:55 Linked dataframes 39:17 DuckDB All In-Process Analytical DBMS ("The SQLite for Analytics", short demo at 50:40) 58:50 Database list against the matrix: use of tax list an vegtable for the assessment of vegetable-plot data
@WhySoBroke Жыл бұрын
Too much environmental.... too little ecology 🙁
@mmmiao1199 Жыл бұрын
thanks for yr wonderful lecture , do u mind providing the slide link?
@doubleml2334 Жыл бұрын
yes, sure! You'll find all materials here: docs.doubleml.org/tutorial/stable/2022/06/18/welcome-user-2022/
@gavinmasterson2242 Жыл бұрын
Presentation begins at 10:21.
@abaldo8892 жыл бұрын
Is there a transcript available, somewhere? People really shouldn’t have to rely on craptions, especially for talks about accessibility… Thanks.
@bryanshalloway89152 жыл бұрын
The code in my examples is impossible to read, here are my slides: github.com/brshallo/tidy-pairwise-operations-user2022/blob/main/3-ways-tidy-pairwise.pdf
@AngelFelizF2 жыл бұрын
That was a great presentation. Thanks for sharing. #tidymodels and #vetiver are both great packages that I will definitely use as part of my workflow.
@asolisca2 жыл бұрын
Vetiver is definitely a game-changer. Congrats Julia and to all the Posit team too for creating this amazing package!!
@tempmail56602 жыл бұрын
please mentioned the twitter handle of the speakers so that we can connect as and when these talks will be held.