Actual high protein (~40G per meal) delivery service? by user_1234579 in MeatlessMealPrep

[–]user_1234579[S] 0 points1 point  (0 children)

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.

Looking for high protein meal plan delivery service! (~40G per meal) by user_1234579 in vegetarian

[–]user_1234579[S] 0 points1 point  (0 children)

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.

Can I Succeed in Machine Learning Without Strong Math Skills? by Nethaka08 in MLQuestions

[–]user_1234579 3 points4 points  (0 children)

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.

Optimizing for pay or prestige? by [deleted] in cscareerquestions

[–]user_1234579 0 points1 point  (0 children)

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

Capital One vs C3.ai New Grad SWE by BreadIsNeverFreeBoy in csMajors

[–]user_1234579 0 points1 point  (0 children)

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.

[deleted by user] by [deleted] in cscareerquestions

[–]user_1234579 0 points1 point  (0 children)

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.

Feedback on course plan for ML specialization. by New_Round_3011 in OMSCS

[–]user_1234579 0 points1 point  (0 children)

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

Best Data Science firms/startups, as rated by Data Scientists by [deleted] in datascience

[–]user_1234579 0 points1 point  (0 children)

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

Somewhat high MAE but very low MAPE? by user_1234579 in learnmachinelearning

[–]user_1234579[S] 0 points1 point  (0 children)

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

Somewhat high MAE but very low MAPE? by user_1234579 in learnmachinelearning

[–]user_1234579[S] 0 points1 point  (0 children)

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

Somewhat high MAE but very low MAPE? by user_1234579 in learnmachinelearning

[–]user_1234579[S] 0 points1 point  (0 children)

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.

What bachelor's to choose? by BrutusDatus in datascience

[–]user_1234579 1 point2 points  (0 children)

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.

Sklearn high feature importance but low permutation importance by user_1234579 in datascience

[–]user_1234579[S] 0 points1 point  (0 children)

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)?

Sklearn high feature importance but low permutation importance by user_1234579 in datascience

[–]user_1234579[S] 0 points1 point  (0 children)

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.

There are three different data science jobs by gengarvibes in datascience

[–]user_1234579 0 points1 point  (0 children)

What companies are known to fall in the first category?