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Don’t buy a computer for that, do it on AWS! It’ll be another skill you’ll pick up :)
Omg you guys enough with Aws. Typical consultants pushing a solution someone isn’t ready for 🤣
If you're serious about kaggle I would recommend using a cloud service like AWS or build a desktop. If you prefer a laptop just for tutorials/toy problems, what you listed is fine, optionally get one with a nvidia gpu.
Gigabyte Aero
Analytics learning on my own computer? I want to learn to work with big data and do something that can handle that would be great.
Ey1 i thought about that but I’m already trying to learn python and machine learning and statistical modelling right now and I’m afraid AWS would just be overkill for now. Maybe after that
You need a GPU only if you’re going to run neural networks so don’t make the extra investment in a GPU if you just want to do ML problems. IMO by the time you get up to speed on python and other DS algorithms you can do Deep Learning on AWS
I appreciate the advice about building my own computer and learning aws but I’m, like, focusing on learning python right now. One thing at a time. I’m not as smart as you guys. :)
AWS would serve you better, perhaps include R Server. For analytics dev work on my laptop I rarely use more than 16GB RAM. When I do though, it really slows me down to have to switch to something in the cloud (or alternatively, memory manage)
I’m working 70 hrs a week and trying to learn python on top of that. I really want to focus on syntax and modelling. Absolutely want to learn aws but that’s next. agree with the recommendation in general just have to focus on one thing at a time. Appreciate all the advice.
When you guys say AWS are you referring to Amazon DynamoDB ? Curious to know if the free tier is sufficient for you guys to work with at a non-professional level
Yeah I’m never sure if I’d use redshift or dynamodb or Rds or what. Whatever is easier to set up. Pretty much access in the cloud is what i need. Simple as possible.
When folks say aws that encompasses multiple services but people are primarily referring to VMs located with data science toolkits.
Agree on AWS/Azure/GCP vs a laptop/pc. Learning to interact with those environments is useful and perhaps critical. You don't need a large vm if you have small data, but the ability to scale quickly is great. It is also less expensive than building/buying a laptop/pc. You could run around with a chromebook and be just fine on those environments.
In terms of databases I really like bigquery/athena though both are likely overkill. I like that I don't have to think about scaling them. Issue queries and get results 😀
If you really want a laptop I hear the new huwai matebooks are great (not joking).
Interesting, you guys don’t run stuff locally. I’m in the market too and was planning to get something with at least some CUDA cores.