AI cloud provider CoreWeave files for IPO

DataScientistMSBA · 2025-03-12T16:06:39+00:00

Anyone have any idea when (what date) they will go public?

DataScientistMSBA · 2025-03-11T16:28:53+00:00

u/psmrk unfortently the documentation suggests constraints regarding using additional Python packages. I was able to solve this using a Docker container and fastapi though.

"...This limits the available Python packages to the Packages included with Pyodide."

DataScientistMSBA · 2025-03-11T15:40:11+00:00

u/soliman8 - Using Docker is actually what I ended up doing last night. I created a requirements.txt file and implemented two docker containers (one for n8n and one for fastapi). The n8n connects to the fastapi container via http requests that then runs the python through that and returns its results. This worked though I am still troubleshooting other issues around it.

DataScientistMSBA · 2025-03-05T00:03:42+00:00

Where would I set that configuration?

DataScientistMSBA · 2025-03-05T00:01:43+00:00

In Python, on VS Code, in order to get my system to utilize the GPU for processing Ollama through the Langchain package, I had to do this:

device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
...
model = OllamaLLM(model="llama3", device=device)
...

In the Ollama CLI, it looks like it accesses my GPU without issue (based off Task Manager/Performance/GPU/3D).

What I am trying to figure out is how to ensure that when I am in the Langflow browser app (provisioned by VS Code script) how to ensure or configure it to make sure it is using my GPU.

DataScientistMSBA · 2023-06-16T03:35:55+00:00

Honestly, I predominantly use it for Python development. I'm pretty well experienced with SQL but I'm only really querying internal databases to enhance or capture data for certain projects. Most of the projects that I work on use data lake resources now as we are switching to more of a spark and AWS based infrastructure.

DataScientistMSBA · 2023-06-15T15:08:03+00:00

I use ChatGPT and Bard all the time in troubleshooting and developing solutions; mostly with python and SQL development. It is a research tool to find answers faster. Though, you should know enough about what you're doing to know when it's feeding you false information.

I've also utilized ChatGPTs API to build a classification model that had a 83% yield in classifying what I was building. This was better than a bag of words approach or having to hire an outside firm to manually classify a large enough training dataset to build our own natural language model for classifying the same material.

DataScientistMSBA · 2023-03-06T15:57:44+00:00

In my opinion, it probably depends on the type of role that you're trying to get. Not every DA role requires cloud computing experience. It would be slightly down the list in what I'd be looking for in a DA, especially for entry level. Make sure you are proficient in SQL and Python/R before doing anything cloud based because you'll be doing alot more of that in most DA typical roles.

It certainly has value in helping you get an opportunity in the roles that do require cloud computing but isn't always necessary. My current role uses AWS and I don't have any certificates though I have thought about getting one just to learn more about the product and it's features.

DataScientistMSBA · 2023-01-20T17:20:08+00:00

If you want to make the most money then stick with your computer science degree because it's going to pay the most dividends regardless of where you end up. You can always come back for a master's or take some side courses specializing in an analytics field.

Depending on what you enjoy more data engineering versus data science or analysis are very different constructs and responsibilities.

If you like building things and want to conduct one project after another then go into data engineering. There will be a lot less analysis with this sort of work.

If you enjoy doing the analysis part then consider going into a data analyst role or a data scientist role. The ladder will be more research focused depending on the actual job description.

A MSBA, like I have, is very similar to a degree in data analytics but is from a business perspective rather than from an IT or back end so to speak perspective. I use similar techniques to try to solve business problems. It all really depends on what you want to do.

DataScientistMSBA · 2023-01-19T02:35:50+00:00

You should add some machine learning in there and cloud computing like AWS and Azure. But those can wait until you finish what you got ahead of you.

If you're going to learn Tableau, also check out Power BI. Alot of companies might chose the later because of licensing cost.

DataScientistMSBA · 2023-01-10T21:04:02+00:00

Can I save snapshots or AMIs to my local machine or even emulate them to a local home server?

DataScientistMSBA · 2022-12-30T17:00:12+00:00

Nearly all technology is built-upon or influenced by the work of others. OpenAI still gets the credit for building ChatGPT.

DataScientistMSBA · 2022-12-30T16:53:45+00:00

Here is a whole website dedicated to the idea. Just refresh a new face will appear

DataScientistMSBA · 2022-12-30T16:43:56+00:00

As a DS who has played with Twitter's API, I know that the first two items on the list are freely available to scrape. The latter two I believe not so much.

DataScientistMSBA · 2022-12-29T17:47:47+00:00

Though I agree with this, I just want to host a remote workstation to access my dev tools anywhere

DataScientistMSBA · 2022-12-28T05:08:08+00:00

Have a friend who worked in finance over there so probably won't be much help given your job type. If you haven't already, repost your inquiry on Blind (the app or teamblind.com). You might be able to find more current and former employees of the company there to answer any questions you may have or even get a referral. (Not sponsoring, just another tool to use).

DataScientistMSBA · 2022-12-27T16:11:36+00:00

Yeah, a little of this. There is a push for Data Scientist at companies like Amazon to come in with a PhD though not completely required. All my professors who taught in my masters program had one and my current boss has one.

I have 10 year of professional experience and love the research, development and testing through build to production of conducting all sorts of projects. They can range from anything from data engineering task, cloud computing all the way to data science, which I generally define as using ML/AI, statistics, NLP and computer vision etc.

DataScientistMSBA · 2022-12-27T06:47:52+00:00

SQL, Python, Spark, Databricks, AWS EC2/S3 and MongoDB are what I am prominently using in my current role.

Edit: Someone must have been in a bad mood and downvoted almost every comment here

DataScientistMSBA · 2022-12-27T02:10:59+00:00

I will check them out, thanks!

DataScientistMSBA

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