a great video, thanks man!

Both entertaining and enlightening. Thanks Josh!

I was there

hi. this is a nice tutorial however can you upload the data you are using so thst its easy to follow along?

Not bad for a boy from Tokoroa New Zealand Mr Bloch

How to get get_map for free? Don't we have to pay for Google API?

how does this not have more views and comments ?

This prof is amazing. I am a data science lecturer, its incredibly inspiring. Kudos to Domino Data Lab team.

Yes, please give the slide deck.

which algorithm is used here?

It is absolutely remarkable what Coatue has been doing

Is there the slide deck?. The person who took the video did a very poor job.

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vote

Thanks so much for posting this. Finding this with less than 200 views is like striking intellectual gold

Really cool!

👏🏿

Found the code by searching for SparkIQLabs: Code: app.dominodatalab.com/SparkIQLabs/spatial-analysis/view/ReadMe.Rmd?commitId=fca395c2d9501d3282b24029fea7d16e6d8b91d0 Presentation app.dominodatalab.com/SparkIQLabs/spatial-analysis/view/domino-presentation.pdf?commitId=fca395c2d9501d3282b24029fea7d16e6d8b91d0 Complete Repository: app.dominodatalab.com/u/SparkIQLabs/spatial-analysis/browse?

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Thank You ,It Is a great vedio

Why didn't you make the video in HD? Very relevant topic but the video quality has rendered it unusable. Please correct it

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Really really really nice content. Thanks for sharing!

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0:00 Model Driven vs Data Drive 1:30 Model Myth 3:00 Model Driven Journey 4:30 Netflix 6:30 Renaissance and Bridgewater 10:00 Dealer Tire 13:00 Expert Data Scientists vs Citizen Data Scientists 18:00 Platform 20:00 Redhat 24:00 Products 33:00 Experiment Manager - Domino Reproducibility Engine 37:30 Activity Feed 39:00 Timeline view 42:00 Model Governance 44:00 Product Portfolio Dashboard 46:10 Asset Portfolio Dashboard 48:00 Data Science Health Dashboard 49:30 Final Thoughts

I total support Isaac afari Addo´s request. You did a very good job in explaining, but it´s not possible to read the codes correctly. I´m not able to reproduce your examples.

Thank you for the lucid explanation. Similar to a single workstation with multicores (CPU), can I also implement doMC in GPU parallelisation?

Could you please upload the data

Thank you! Please improve the audio quality; lots of clipping

I was wondering if you could help me with an error I'm encountering when trying to execute the "writeOGR" command. I'm using the same Large SpatialPointsDataFrame as you created in the video, and the error states: "Can't convert columns of class: ordered; column names: month,day". If you could suggest a possible fix for this error, it would be appreciated.

concept is very nice but it is difficult to read .i have question asmuchas possible pls reply quikly can we do spatial autocorrelation for catagorical variables (sex,travel history(yes,no),types of disease(VL,CL,MCL)...) if so how and pls send the comand? if possible.

Very interesting and amazing, thanks a lot to share this video

hello,i wanna load plenty of geodata to make cluster analysis but it would be loaded too long time even couldn't loaded and exited auto by unexpected action,please give me some adivce. Thanks a lot in advance.

Great Video. Is it possible to run spatial bi-variate correlation in R?

dude the way you say "R"s is super boss. where you from man?

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Please I can see your tutorial is a powerful one, but I find difficulty in reading the codes. So if you can make the codes available in a separate file. Thanks.

یا حسین

Please buy a microphone for future videos. This is almost unlistenable the sound so bad. Like listening to a skype call from Timbuktu!

Thanks Domino Data Lab for your awesome "Optimizing Facebook Campaigns with R" video. I also use this to manage facebook ads which works great for me: www.clkmg.com/clickngo/createfacebookads

Well, that was my brutal force "solution": 1) removed the columns (month and day) and 2) replaced the temp dir by getwd() crime.spatial <- crime.spatial[,-(12:13)] writeOGR(obj=crime.spatial, dsn=getwd(), layer="crime-shapefile", driver="ESRI Shapefile", overwrite_layer=TRUE)

Hi, that's me again. I don't know if I'm the only one who got this problem, but after trying to run <writeOGR(obj=crime.spatial, dsn="data/shapefiles", layer="crime-shapefile", driver="ESRI Shapefile", overwrite_layer=TRUE)>, I'm getting the following error message: "Error in writeOGR(obj = crime.spatial, dsn = "data/shapefiles", layer = "crime-shapefile", : Can't convert columns of class: ordered; column names: month,day". I've already tried to randomly reorder the dataframe but it didn't solve the problem. Tks!

Hey! Could you please upload the code of your demo on github? And thanks very much for the tutorial! ; )

You're the man, Nick! This is some fucking high-level impressing shit. Well, the parallel concept in R and Python is at least a lot more straight forward to me now than it was an hour ago. But the software/website you (guys?) have founded! Jeez, shut. up. and. take. my. money! Have you made this from scratch or are there any finished website modules that others can use as well?