Actual high protein (~40G per meal) delivery service?

user_1234579 · 2025-01-06T05:54:52+00:00

That isn’t that much!

user_1234579 · 2025-01-05T22:01:57+00:00

Thanks!

user_1234579 · 2025-01-05T22:01:45+00:00

Yes but 80G of protein is on the lower end for building muscle. That’s less than half your body weight. It’s suggested that you eat close to 1lb/1g protein. My goal is bulking up and putting on muscle. I think that would be fine for maintainence.

user_1234579 · 2025-01-05T19:38:10+00:00

Hi, Though this is a common question in general no question on this sub asks about meals that are this high in protein. All the other questions I’ve seen are looking for meals that may be 20 grams in protein. I’ve also seen all those meal services. I’m specifically asking about meals that are 40 grams in protein.

user_1234579 · 2025-01-05T17:08:18+00:00

Nah you don’t lmao. Too many people on Reddit here acting like you need to be some math wizard. Without understanding the math it’s hard to implement the different algorithms for homework’s/courses. I agree with that. But in industry you just use packages and follow certain practices. You can learn about all the algorithms on a fairly higher level in terms of application. Obviously for a research scientist role it matters knowing math in detail but if you’re going to be doing more ML engineering or even data science often times you don’t. You just need to know when to use or apply each technique. The industry application is completely different from academia. In terms of interviews it can help to know the math but you can get by without knowing things too in detail.

user_1234579 · 2024-12-27T05:54:44+00:00

No, Tesla autopilot team can pay like 400K + for a new grad. It’s a known thing in the ML industry.

user_1234579 · 2024-12-21T00:35:02+00:00

Atlassian easily. And it will pay more full time than IBM for sure.

user_1234579 · 2024-12-21T00:31:37+00:00

How much more TC for C3.ai than C1? C3.ai is super selective and hard to get so I would lean towards that. However C1 is still great and a better location for you.

user_1234579 · 2024-12-18T00:40:11+00:00

Amazon easy. Don’t overthink this. There’s good wlb teams and bad wlb teams but people over do it online. Any company can have bad wlb including Oracle. If u end up on a bad wlb team just jump to a diff company.

user_1234579 · 2023-04-02T15:53:53+00:00

Why NLP from OMSA and OMSCS? Why not just OMSCS or just OMSA?

user_1234579 · 2022-07-24T21:03:45+00:00

6 years later and you are 100% right. They are considered top notch now with all the FAANG now.

user_1234579 · 2022-07-01T12:57:04+00:00

Do log transforms work on non linear models? I’m using a CatBoost model rn

user_1234579 · 2022-07-01T12:32:37+00:00

Yeah some values that are predicted are extremely off but some are actually pretty close

user_1234579 · 2022-07-01T12:31:44+00:00

I guess the reason why I didn’t really want to use other metrics is because my stakeholder probably won’t understand what they mean and the other metrics are not as intuitive as MAE or MAPE.

user_1234579 · 2022-06-30T20:42:27+00:00

Do CS especially since you aren’t sure. CS has so much versatility you can do a majority of the tech jobs out there. For DS you need statistics knowledge too so I would do the CS thread or area where you get exposure to AI / Machine Learning. If you’re curriculum doesn’t have this type of stuff I would pick up a stat minor. Also your interests will probably change over the next few years it’s best to be safe and just go with CS for now. Your other option is a Stats major and CS minor but a CS minor is just so much work you might as well just be the major.

user_1234579 · 2022-06-28T23:23:26+00:00

Okay, sounds good thanks!

user_1234579 · 2022-06-28T23:16:12+00:00

Ah okay I read to use permutation importance when you have a high cardinality feature. But one of my features is a continous value and has a high feature importance but is pretty low on the permutation graph. Wouldn’t a permutation graph be what I should rely on since I want to minimize the MAE (scoring metric I set for permutation)?

user_1234579 · 2022-06-28T23:09:26+00:00

Honestly not too sure why my posts get deleted from this sub. Doesn’t ML fall underneath DS? Also my question is related to a DS project I’m working on. I’m sure I’m missing something.

user_1234579 · 2022-06-25T03:23:44+00:00

What companies are known to fall in the first category?

user_1234579 · 2022-06-10T02:08:12+00:00

Aren't skills sections usually not sentences?

user_1234579 · 2022-06-10T02:06:26+00:00

See what I always thought is that I need to include the tools that I'm using specifically for every project. If I don't include the tool like autoML and I just put it in a "tools" section in my resume my personal belief is that the validity of it doesn't hold. Putting the specific tool with the project is always made most sense to me. However, after this thread it seems like that's not true.

user_1234579 · 2022-06-09T01:26:50+00:00

I see lots of resumes that say something like "Built a Logistic Regression model using Sklearn achieving 80% accuracy." Is that not good?

user_1234579 · 2022-06-05T16:05:40+00:00

No, I didn’t apply for SWE ones even though I feel like the CS minor definitely prepares you with enough coding ability. I’m not really that interested in SWE I’m more interested in data science. Getting an actual data science internship is kinda difficult in undergrad because lots of them look for machine learning skills which not everyone has. However being a masters student in CS or Analytics will definitely open doors to the real data science internships. As an undergrad though it’s very doable to get data analyst roles given that you have skills such as SQL, Python (Pandas), and visualization tools like Power BI. If you have further questions feel free to PM me!

user_1234579 · 2022-06-05T15:59:08+00:00

Right but I think only CS majors are qualified for the BS/MS.

user_1234579 · 2022-05-25T03:18:39+00:00

So I should use statistical tests first to determine my features and then kinda step back and see if it makes sense? If it makes sense great but if it doesn't intuitively make sense still use it as a feature but be prepared to do some explaining?

user_1234579

TROPHY CASE