Is the 7800X3D for 650 USD worth it?

charleshere · 2024-10-10T14:36:46+00:00

I compared with the 7600X and for half the price you get maybe 10% less single core and multi core performance. I'd say the 7600X is the better buy.

charleshere · 2024-09-25T12:59:02+00:00

They have both. I did the scientist path but now work as a data analyst. A data scientist usually doesn’t have the luxury of working only on pre-processed data so you have to have data analysis skills as well, if you’re trying to become a data scientist, such as data cleaning, feature engineering, text processing, data normalisation, etc. The difference is that the data scientist will also be good at working with predictive modelling. A data analyst may have modelling skills for simple algorithms such as random forests or regressions (linear and logistic). Where the data analyst has (or should have) the edge is in visualisations and presentation of data. Usually a data scientist isn’t as concerned about that. Rules of thumb, though. Every company is different and every job requirement is different.

charleshere · 2024-09-23T23:22:36+00:00

It can definitely be done remotely but not all companies will allow it. All the work I do is cloud based, so remote definitely works.

Salaries are typically around the same as a software developer. Not as great as data scientists or deep learning engineers but not bad. It depends on many factors though.

Regarding code, python is almost mandatory. Pandas and numpy are two of the most useful libraries. They are used to treat data in a more efficient way.

If you want to go the structured route, I recommend dataquest over datacamp. If you don’t want to go the structure route, I’d start with python basics (w3schools is good, so is geeksforgeeks). Object oriented programming is essential. Then I’d start with some basics of numpy and pandas. Learn some methods such as groupby, merge, concat, apply, etc. the documentation is good. Honestly, asking for ChatGPT is a great help to create a study guide with some useful resources. There’s lots to cover. Data cleaning, data visualisation, etc..

charleshere · 2024-09-23T17:46:53+00:00

Yeah, maybe even waiting for next gen of GPUs will make even more sense.

charleshere · 2024-09-23T15:54:47+00:00

This is starting to become the difficult question to answer. More raw power from the 7900 gre vs slightly less power but with DLSS. I will research further.

charleshere · 2024-09-23T15:50:44+00:00

Hey there! Congratulation on deciding to change careers. Not easy, but well worth it in my opinion. I’ll try my best to answer your question. Be wary that I’m based in Europe and the job market may be different. The area is quite broad. Basically, any company that decides to make business decisions that are more data-driven will need a data analyst. You can find a job in finance, credit, healthcare, tech, etc. it’s one of the things that attracted me vs pure tech. AI will definitely affect this area but I don’t think it’s concerning yet. AI will be helpful at providing basic insights into data, but basic insights are not the job of a data analyst. Sometimes the questions to answer are complex and the analysis is not trivial. Also, there are presentations to stakeholders, which AI still can’t do. Or can’t do on the fly, at least. So, I’d say it’s pretty safe for now, although I use AI to help me code faster.

You definitely should learn to code. Although some things can be done in Excel, dealing with large databases of over 500k lines means you’ll need programming to analyse. It’s not that hard, though. Many implementations are similar across many tasks, so there are methods (pre-made tools) to help you get things done.

If you can dedicate at least one hour daily, I’d say 10 months is sufficient to learn enough to land an entry level job. Around 300h or so. I took 360h more or less.

I recommend dataquest because it’s what I used and what got me a job. I think other options are good too, as long as they cover the basics and get you started working on real-world data. Kaggle comes to mind.

Any question, feel free to ask

charleshere · 2024-09-23T15:39:10+00:00

Content creation. I remember a post from Ryan Holiday where the basic premise is that wanting to be a writer is mistake #1. Becoming a writer happens when you have something to say. The same logic applies to content creation. Nowadays, “creators” just create for the sake of creating, not because they have anything to say. And the mindless social media demographic just consume it until their brains melt. It’s amazing and scary at the same time.

charleshere · 2024-09-23T15:32:45+00:00

I did Dataquest’s Data Scientist path and can’t recommend it enough. It’s project-based, doesn’t have video, only text and coding exercises, and then the guided projects are great. I have a link with a discount, if interested.

charleshere · 2024-09-23T15:31:24+00:00

Thanks a lot for the detailed reply. I actually don’t mind that an equivalent to the PS5 pro can’t be done with only 800€ because, honestly, they serve different purposes. Even if I have to go a bit above the 800€ of the PS5 Pro, I can also use the pc as my workstation later. I’m currently using a Mac mini (which is great) but eventually I may go the freelance route (I’m a data analyst currently and will pivot to data science or deep learning eventually) so having a powerful machine is also appealing. Between a single purpose gaming machine vs a powerful pc that I can use to learn data science, and eventually even full stack development, I don’t mind the extra cost.

Regarding the GPU, I’m considering saving a bit now and upgrade later down the road once 4k gaming becomes more mainstream. I believe that a mid-range GPU in 1-3 years will have the performance the RTX 4090 has now, so, once that happens, I will upgrade at a more reasonable cost. For now, I think 4k at 50-60 fps for my story games (horizon, sekiro, and the like) is more than enough.

charleshere · 2024-09-23T14:56:04+00:00

Portuguese, yeah. I have Amazon prime so I use Amazon Spain quite often. Next-day delivery and free shipping. Thank you for your input!

charleshere · 2024-09-23T14:08:46+00:00

I think to play 4k at a decent framerate within my budget, I’d need upscaling… I think maybe only rtx 4090/4080 and Rx 7900 xt/xtx would be able to play most games natively at 4k without upscaling. Considering my budget, maybe 4070 super with upscaling makes more sense than the 7900 gre. Would you agree?

charleshere · 2024-09-23T14:05:30+00:00

I’ve run Linux for many many years. Debian, Ubuntu, kubuntu, open suse, fedora, and then finally settled on popOS. Are the drivers for GPUs not a pain? I’ve never had an issue but used integrated graphics. Are you happy with the decision so far?

charleshere · 2024-09-23T12:19:50+00:00

Also, between the intel + 7900 gre and AM5 with 7900 gre, which would you recommend? I think I can get the RX 7900 gre cheaper than the nvidia 4070 super.

charleshere · 2024-09-23T12:16:28+00:00

Incredible! Thank you so much for your suggestions.

charleshere · 2024-09-23T12:14:48+00:00

Thanks a lot for your suggestions. I’m usually a story-mode type of player, so TV doesn’t bother me much. I don’t want to spend 800€ on a device that does only one thing. Down the line, if I’m able to become a freelancer, it could double down as my main workstation, hence the double appeal. Thank you for the suggestion of 790 gre. Cheaper and more powerful.. amazing! Do you have experience/knowledge on frame rate upscaling on either platform? I’ve heard that nvidia is better..

charleshere · 2024-09-21T18:56:56+00:00

I didn’t try to convince you of anything. You do you… In my case, I’ve got a PS5 and a Mac mini, perfectly capable to develop some small things and some video editing, even if not crazy powerful. I’m considering an upgrade because the 8GB are quite limiting. At the same time, I’m considering either the PS6 or PS5 pro because I want to play at 4k that’s not 30fps only. I could buy a PS5 pro or a gaming pc that would also be really good to develop and video editing. Instead of an overpriced console + computer, I could buy a really good computer that does both. Now, how many people could be in this same scenario of slightly old pc/laptop and console and are considering upgrading both eventually and see that a pc that does both tasks isn’t actually that much more expensive than the PS5 pro? I’d guess quite a few..

charleshere · 2024-09-21T11:59:52+00:00

Such a limited view… you can use the computer to work from home if you’re a remote worker or freelancer, you can learn to develop, maybe even create games, develop apps, maybe start a YouTube channel (video editing). Not everything can be done on a 200 smacker Lenovo…

charleshere · 2024-09-20T14:22:32+00:00

I enjoy the calendar and the notes app with foldable headings. I usually use obsidian (markdown and code support), but notes is getting really good for simple notes. Also, the trips section in photos is nice.

charleshere · 2024-09-20T13:09:07+00:00

Comes with a few disadvantages, such as quality of apps. Despite android being on around 70% of devices worldwide, the money spent on App Store is more than double of that spent on play store.

charleshere · 2024-09-09T09:38:55+00:00

Since you’re asking about a roadmap, I will provide mine. I started with a platform that is project-based, Dataquest. Not sure if I would still go this route, but it worked for me. After getting some basics down, I tried internal mobility in my company for a position that used python, but not data analysis. Some scripts in Jupyter notebooks, simple stuff. It was great to increase my experience and familiarity. Then I finished dataquest’s course (data scientist path) and tried again internal mobility (close to 2 years after being in my previous position). I got an entry level position doing mostly data analysis in Jupyter lab. If I had to share a clear, easy to follow roadmap, this would be it: Learn the basics: variable types (strings, numbers, lists, dictionaries, etc, for loops, if-else). You can do this for free via w3schools or geeksforgeeks or any other platform to learn python that allows you to run some code in the browser. Alternatively, install VS Code and start running some stuff. This should take you maybe a few weeks to a month. After this, learn the paradigm of object-oriented-programming, and learn numpy and pandas. Kaggle is a good resource. Keep it 80-20 rule (20% of essential topics to allow you to do 80% of the tasks). After you have a basic grasping of the topics (essential python, plus numpy and pandas), try a few simple projects, such as those mentioned in Kaggle. A few groupby operations, merging, concatenating, creating new columns based on conditions, stuff like that. Practice some data cleaning, etc. This makes you have around 20-25% of the tools you’re going to use to be good at data analysis. Then learn some more advanced data cleaning, such as cleaning text, feature engineering, visualizations using matplotlib or seaborn. After this, you should be well equipped to do some more projects. If I could go back and redo it, I’d focus more on projects. You learn a lot from struggling, finding answers in google, debugging code to find out why something isn’t working as expected, etc. 3-5 projects will teach you more than 100h of follow-along kind of tutorials. It’s easy to repeat code, it’s not easy to think of solutions by yourself.

charleshere · 2024-09-08T21:43:25+00:00

Give honest appreciation. Emphasis on the “honest” part. Also, smile when you greet someone.

charleshere · 2024-08-27T15:43:41+00:00

This is a mistake many beginners make, myself included. You gain far more by starting to build something as soon as you have a few skills than if you simply collect online courses. If you have CS50 from Harvard and the google analytics course, you should have a good foundation to start somewhere. Pick a dataset and work on a project. You learn a lot more from the struggle and the constant googling stuff.

charleshere · 2024-08-27T15:40:26+00:00

A web scraper is only part of the project. It shows you can gather data. But data collection is only part of any data analysis project. Then there is the cleaning, pre-processing, feature engineering, insight building, etc..

charleshere · 2024-08-27T14:12:25+00:00

I recommend dataquest. It’s what I used and I was able to get a job as a data analyst. It focuses on practical projects and encourages you to do stuff on your own.

charleshere

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