Welcome to our community

Be apart of something great, join today!

Trump / Musk (other than DOGE)

  • Thread starter Thread starter nycfan
  • Start date Start date
  • Replies: 12K
  • Views: 618K
  • Politics 
  • 36% of corn is used to feed animals
  • 30% of corn goes into ethanol
  • Something like 2-3% of corn goes directly to human consumption
  • 70% or so of soybeans are animal feed
  • 15% goes into making cooking or salad oil
We could probably do without ethanol.
 
i was studying data science for a while a few years ago. it is painful to do for long periods of time, from what i could tell. it's the sort of job you like in your sixth month but just cannot stand your third year. thats my impression and it's little more than that.
One of the posters on IC took a boot camp and switched careers to data science. I wonder how he's liking it.

I really liked when I was building data reports at work a few years back, but data science is much more intense.

Truth is I'm too old and set in my ways to risk a career change.
 
I work in tech, work closely with data science folks, and have deep experience. So I’m pretty comfortable with my relative understanding, and I don’t think super’s characterization is accurate.
Oh…..wait……oh, shit…..hold on…give me a second….wait…..WTF…….you questioned “super?”
 
One of the posters on IC took a boot camp and switched careers to data science. I wonder how he's liking it.

I really liked when I was building data reports at work a few years back, but data science is much more intense.

Truth is I'm too old and set in my ways to risk a career change.
You’re not too old. Depends on your time and what you want.
 
I love it when I get new projects and you can learn something new about a new field And make some unique insights. When it's the same thing over and over, it gets pretty boring. And of course, most people want you to do the same thing over and over because they don't want you learning on their dime. I still like it though. Best job I ever had.
You're in data science?

My job has become routine and boring.

But I do get to hire some in Jan as one of my guys is moving on. Unfortunately another of my guys is on medical leave for a month.
 
I would love to see polling on what percentage of Americans think this is plausible. The average IQ of that group must be sub-80.
If Canada could get 2 senators for every province (I know, I know) how many democratic senators would that add and how many republican senators? I assume Alberta, Saskatchewan, and Manitoba would skew Republican and the other 7 provinces would skew democratic, but I don't know Canadian politics to know for sure.
 
You're in data science?

My job has become routine and boring.

But I do get to hire some in Jan as one of my guys is moving on. Unfortunately another of my guys is on medical leave for a month.
Yes. Made a switch a few years back. Starting to work more on AI which is an easish transition. The stuff fascinates me and my mediocre coding skills aren't too big of an impediment with the LLM coding assistants.
 
We hire data scientists. A wide array of AI adjacent priorities from multimodal data integration to training LLMs on underlying raw and annotated (meta)datasets to CNNs that can be applied to fourier transform images, 3D images, and video.

As far as programming its the usual skills - C/C++ and python along with R and SQL and the cloud vendor-specific microservices. Finding individuals who are good at thinking about data engineering at petabyte scale, and ontologies, and have some domain understanding of the data is difficult. The nature of some of the work includes optimizing the math (frequently linear algebra) so some understand of compilers is also helpful. We've mostly landed on hiring young and training up.
 
This convo on coding and data science is quite interesting. I might repurpose the ASML thread I started as a data science/coding/AI catch-all to hopefully continue the conversation if that works for folks (and return this thread to its original Musk focus for good or for ill).

 
So everyone and their mother on the planet knew Musk would lose money on this, except the supposed financial geniuses who run the banks. Brilliant.
They knew but had a broader strategic perspective
“The banks that agreed to underwrite a deal that even Musk said was overvalued did so largely because the allure of banking the world’s richest person was too attractive to pass up”
 
Back
Top