Thanks! I’ve come across many of Simos’ posts while getting up to speed on LXD. I had previously ended up settling on using the forgotten xdmcp to establish and manage the connections. My next go around will probably use a different approach that is more secure.

My use case for code-server is that I can then access the IDE from any computer allowing me greater flexibility of the device that I code on.

I use LXD (too lazy to move to Incus at the moment) for this exact purpose. It’s definitely nice having a greater degree of isolation between the various projects I’m working on — especially when working with confidential information from clients. Depending on what you’re looking to do there are simpler ways to manage isolation between projects like chroot and nspawn or Nix’s environments. Then again by using LXD/Incus you get that plus lots of other useful tools baked in.

Regarding not getting an IP address have you checked your base configuration to see if dhcp has been configured for the bridge? If that isn’t the issue then all I can think of is that you somehow deleted the interface and should check the container config.

That said the commands provided above are how I usually access the container command line. For coding I use code-server to put VS Code in a browser. I’m sure there are better options and look forward to the suggestions.

Keep going and learning!

Providing more specific information about what isn’t working would help resolve the issue.

The flathub page lists some additional steps that need to be performed to allow virtual input. Did you do this?

Since you like mathematics I highly highly recommend Murphy’s Probabilistic Machine Learn: An Introduction and Advance Topics. Pre-print versions are freely available from his website. The books cover a wide variety of ML topics and should provide a great foundation. I also love how thorough his references are and feel like that alone is enough to justify the price of the book. My only caution is the book is poorly edited in certain areas where some formulas are incorrect (but you’ll probably catch the errors and they aren’t significant) and a paragraph is randomly missing in a section or two. But it’s an amazing thorough book and will definitely set a solid foundation as it doesn’t shy away from explaining the underlying details like others do.

If you’re looking for a practical book to go with it, Heron’s Hands on ML book is pretty decent as it walks you through the general framework of ML work. Honestly, with that said, the documentation of SciKit is awesome and can get you going pretty quick along with a few tutorials.

An introduction to statistical learning is a pretty decent primer on the subject if you’re looking for a good middle ground between theory and practice. The examples are in R which may be a negative for some. However, if you’re looking for a more math focused book with a similar feel, some of the authors were involved in writing the elements of statistical learning which follows the same structure but goes deeper into the topics and includes more advanced topics.

Also depending on how familiar you are with optimization it doesn’t hurt doing a little reading on that topic by itself. Murphy’s boom provides a decent crash course on the subject but there are plenty of other great books on the subject. I’ve found the work of Boyd to be great in that area but I can’t remember a primer of his to recommend.

Finally, one area I think worth dedicating its own book to is the concept of kernel methods used algorithms like support vector machines and Kernel PCA. Scholkopf’s Learning with Kernels is pretty great at introducing the topic and explaining how broad their applicability is.

Hope that helps!

I’d investigate the differences between the installs particularly around graphics and power management. It sounds like your system is getting woken up but it’s hanging at some stage in the process of resuming. You might get lucky and the issue might show up in the logs if you’re willing to investigate them.

When I’ve run NUCs in the past I’ve had issues with external nvidia GPUs dropping off the bus when resuming from suspend. To “fix” the issue, I ended up limiting the power state to S2 or S3 so that the graphics card was kept on the bus.

Do you know what display server, DE, power management service you were running on both? If the logs don’t turn anything up you can always compare the configs too to see how they’re suspending/waking the system.