gronjo45

Hi everyone, I've always had a special interest in linguistics and have informally studied a couple of different languages from all around the world. The different writing systems such as radicals in Chinese, Kurdish scripts and reading from right to left, to Inuit glyphs are all fascinating in themselves.

The IPA has been something fascinating, but I've yet to find a good resource that I could make sense of and hold my attention long enough to internalize the concepts.

I'm looking for books and authors that have a unique background. For example, seeing Chomsky's name in an automata formal language theory book was weird to think... But all the NLP stuff had foundation in older linguistic theory and ways people thought about the human brain, right?

Language and Information by Zellig Harris is an interesting read. John Sowa is another author I'd recommend for the whole way of ontology and computer systems. The particular book by him that I'm thinking is Conceptual Structures, I believe...? Would love to hear your thoughts, especially with all the AI hardware being released.

Lately, I was going through the blog of a math professor I took at a community college back when I was in high school. Having gone the path I did in life, I took a look at what his credentials were, and found that he completed a computer science degree back sometime in the 1970s. He had a curmudgeonly and standoffish personality, and his IT skills were nonexistent back when I took him.

It's fascinating to see the perspectives on computing and how many of the things I learned in my undergraduate were still being taught way back to the 1950s. It also seems like the computer science degree was more intertwined with its electrical engineering fraternal twin.

Although the title of this post is inherently provocative, I'm curious to hear from those of you who did computer science, electrical engineering, or similar technical degrees in decades past. Are there topics or subjects that have phased out over the years that you think leave younger programmers/engineers ill-equipped in the modern day? What common practices were you happy to see thrown in the dumpster and kicked away forever?

The community also seems like it was significantly smaller back then and more interconnected. Was nepotism as prevalent in the technology industry then as it is today?

This is just the start of a discussion, please feel free to share your thoughts!

Hey everyone,

Recently, I've found myself bogged down in sending off resumes that seem to never to be read by anyone other than myself.

I'll go through the whole gamut of picking keywords that match the job description, showcasing my previous experiences, projects, skills etc... But it just seems to never result in a call-back or even an email to tell me I wasn't selected.

Given that I'm tired of screaming into the hills and hearing it echo back, I want to write a program that streamlines this whole process. I have a couple of resume templates written in TeX script that I can populate with content. Alongside this, I have all of my relevant bullet points in assorted text files labeled appropriately.

The idea would be to feed the program the job description, relevant qualifications, and other miscellaneous text files. These would be processed to give an idea on how my resume should be modified to suit their requirements. Perhaps that could aid in creating a strong resume in a more streamlined fashion. I have no clue what metric should be used to quantify how "good" it is, so that's to be figured out as well.

I saw "nltk" and "spaCy" are two NLP libraries for Python, but I wanted to open up discussion for those of you who have worked on projects similar to this. I have read mixed comments about the two. Which one seems better suited for this task?

Obviously I'll review the resume before I submit it, but I want to see if I could get something like this working.

I'm a giant noob when it comes to NLP, but have used Python for the past couple of years for data-science applications. I'd be open to learning a different language if there is a library that has some of these functions already coded, but I'm not a developer.

Thanks for any help! I love the community over here on Lemmy. Many of you have been very helpful and encouraging and it makes me want to keep learning more :)

Hey everyone, I'm still pretty new to using my GrapheneOS phone and have been slowly transitioning to a more privacy oriented technology lineup than I previously did.

I searched for clients on Google and found "Total Adblock", "Adblock", and "Adblock Plus" but I'm not quite sure how to audit an adblocker for security flaws or malicious intent. I also would prefer to install apps through the F-Droid store and learn how to compile from source code on mobile (if that's possible on GrapheneOS or if that's even something desirable)

Thanks for any help! Been lurking a lot on Lemmy and have really enjoyed the energy in the community. Definitely has made learning Linux and the countless times I've had to fix my Arch system much more enjoyable. GrapheneOS has been quite stable too other than the phone having interfacing problems with my cellular provider's network...

This week I finished setting up Arch Linux (It felt so good to nuke Windows 11 off my laptop!) and GrapheneOS for my new Pixel phone.

I am interested in getting a NAS for multiple purposes such as accessing files, hosting a small website, and to upload security camera footage to name a few.

Is there a particular brand to buy? I'm basically illiterate when it comes to networks aside from what an IP is and what DNS is. Any suggestions for books and reading material is greatly appreciated. It feels liberating to know more than I did before with tech!

I have tried to learn Linux for ages, and have experimented with installing Arch and Ubuntu. Usually something goes wrong when I try to set up a desktop environment after installing Arch in VirtualBox. KDE gave me a problem where I couldn't log in after getting to the point where my username was displayed in a similar format to how it is for Windows. My end use case is to help keep my workflow more organized than haphazardly throwing files somewhere on my desktop or in a folder nested somewhere that I'll just inevitably lose :(

Somehow after all this time, I feel like I actually understand less about my computer and what I need to understand regarding its facets. Is it an unrealistic goal to want to eventually run a computer with coreboot and a more cybersecurity heavy emphasis? I'm still a noob at this and any advice would be appreciated!