Ms.,I Need to tell you that your tutorial is a must! Awesome job from yours! Well organized, well explained and very objective! Congratulations for your job!
Hi Tiny - please move the 'Important - Deleting your Sagemnaker resources' to the beginning of the course - I got hit hard on a 'free tier' account because of this.
Hey D 8 - I just published a video about how to use Rekognition to pull/label images from S3. It's a little simpler than the dictionary you mentioned, but hopefully it'll get you started if you still need it! :) th-cam.com/video/PyjDVZ--cfs/w-d-xo.html
Great video!! Thank you for the upload I'm following along and wondering how I would do the same using multiple csv files? particularly I have a folder in the s3 bucket which contains multiple parquet files that I want to use together
Thanks for watching, Fernandes! Glad it was helpful. 😊 When you do an import from S3, you can only pull in one file at a time (which creates a dataset in Data Wrangler). But you ARE able to join datasets together once they're in Data Wrangler, so that would be one option. You could also try using Athena to aggregate your data first, then in Data Wrangler, do an import of the Athena data (there's an option for Athena when you do an import). Hope that helps!
It's a bit daunting how fast the ML field has progressed in just a few years. Now almost all the end to end steps for basic workflows are automated. How do other products compete with big cloud providers if they offer every service under the sun?
![[LIVE] : ONE ลุมพินี 88 | คู่เอก "ป้อมเพชร vs อัสลามจอน"](http://i.ytimg.com/vi/1ZqTVVbMgbo/mqdefault.jpg)
What else do you want to learn about AWS? Let me know below in the comments!
Ms.,I Need to tell you that your tutorial is a must! Awesome job from yours! Well organized, well explained and very objective! Congratulations for your job!
Thanks for such a nice comment, Lucas!! So glad you found it helpful! 😊
It would be stunning a second part in order to train, deploy and export results in S3 or snowflake!!
Thank you!!!
Ooh, I like it! I'll add this to my list of ideas for future videos. Thanks for watching! 😊
Hi Tiny - please move the 'Important - Deleting your Sagemnaker resources' to the beginning of the course - I got hit hard on a 'free tier' account because of this.
Doh! So sorry!! 😕 I'll see what I can do.
Thanks for this :D Would love to see tutorials about the use of s3 to store faces of people and later be used as a dictionary for amazon rekognition.
Great suggestion! I've added it to my list!
Hey D 8 - I just published a video about how to use Rekognition to pull/label images from S3. It's a little simpler than the dictionary you mentioned, but hopefully it'll get you started if you still need it! :) th-cam.com/video/PyjDVZ--cfs/w-d-xo.html
Great video!! Thank you for the upload I'm following along and wondering how I would do the same using multiple csv files? particularly I have a folder in the s3 bucket which contains multiple parquet files that I want to use together
Thanks for watching, Fernandes! Glad it was helpful. 😊 When you do an import from S3, you can only pull in one file at a time (which creates a dataset in Data Wrangler). But you ARE able to join datasets together once they're in Data Wrangler, so that would be one option. You could also try using Athena to aggregate your data first, then in Data Wrangler, do an import of the Athena data (there's an option for Athena when you do an import). Hope that helps!
It's a bit daunting how fast the ML field has progressed in just a few years. Now almost all the end to end steps for basic workflows are automated. How do other products compete with big cloud providers if they offer every service under the sun?
Agreed! It's definitely come a long ways in a short amount of time.
Isn't encoding essentially a pivot?
Encoding is basically the process of transforming the data into numerical values so the algorithm knows how to deal with them.