Learn how to create an Azure "Data Science Virtual Machine," create a release build of your bot, and deploy it to the VM.
- [Instructor] Now, obviously it's not great to be running…that bot on your own personal machine because you might…want to shut it down, you really want something…in the cloud that's running all the time.…We're going to run this on an Azure Data Science VM…and the reason for that is because it has RNG plot tool…pre-installed, so let's quickly run through the procedure…for doing that.…And this really is pretty simple, hit New.…And search for data science.…And you want Data Science Virtual Machine…and you want the Microsoft one, not the Linux one…because obviously that's the operating system we want.…
Hit Create.…Give it a name.…This isn't a high-performance thing, so a physical hard disk…is absolutely fine.…You need to set yourself up with a username…and a password you're going to need to remember.…You have to choose a resource group,…I already have some VMs in the resource group…called VM, so I can use that.…And the location really is pretty irrelevant.…It doesn't like our name.…
There we go.…Now, we do not need a large VM for this and by the way,…
- Defining values and calling functions in F#
- Defining and identifying discriminated unions
- Working with if-else expressions
- Writing unit test
- Using type providers to access data
- Analyzing data with collection functions
- Plotting data using the R type provider
- Using railway-oriented programming to handle errors
- Integrating with Twitter
- Deploying an F# application to Azure
Skill Level Intermediate
1. Get Started with F#
2. Build a Simple Parser with Unit Testing
3. Use F# CSV Type Provider to Get Data
4. Analyze Data with F# Collection Functions
5. Use RStats Provider and ggplot2 to Plot Data
6. Use BoxKite with Twitter
7. Deploy a Working Bot
Next steps1m 46s
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.Cancel
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.