Hello Coders I would like to share an experience and know your opinions. I embedded about 12K+ order lists from a takeaway order system. I used Cohere english v3 and openai text embeding v3 for the embed. I prepared questions for the embed I would like large pizza, green pepper and corn questions with semantic parser. The output answers of these questions vegan pizza, vegan burger added pepperoni topping coke side topping did not satisfy me. Complementary and suggestion answers gave one quality and one poor quality output. Of course, these embed algorithms are usually based on conise similar ..read more

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Its hard as an international to get internships in this market but thankfully I had the fortune to interview for a few F250 companies. I seem to be missing out for fine margins. One company team technical lead said that i would be a good fit but since there was just 1 opening, I got referred to another team to apply . This happened quite a few times with others except i wasnt referred to other teams. I prepared for wrong things in that interview. I was able to answer all but it was thinking on spot and beating around the bush which definitely didn't help . Someone who knew it would sound more ..read more

I want to create a chatbot that can fetch data from database and answer questions. For example, I have a database with details of employees. Now If i ask chatbot how many people join after January 2024 that chatbot will return answer based on data stored in database. How to achieve this and what approch to use? submitted by /u/ssiddharth408 [visit reddit] [comments ..read more

I've gotten some advice from a few other more senior folks already and already have a lean, but wanted to poll this sub for some additional input before making a final call. I'm a relatively recent PhD grad (1.5 years out from finishing my degree) and want to make a decision that puts me in the best position to transition to a data science/statistics management role some years down the line in a large or mid-sized biopharma company. I've been at my current role for just under 1.5 years. To summarize some of the aspects differentiating my current role from the prospective new one: Current big ..read more

I've worked in a company in which there were different teams for DS and MLE with very distinct responsibilities. DS were responsible for talking with business stakeholders, understanding the project goals, talking with data engineers and analysts to assess data availability, do the whole data science project cycle and then deploying the model as a flask API using infrastructure built by the MLE team. However, I have seen more and more MLE jobs in which their responsibilities are much broader than that. Some of them expect MLEs to actually build the model themselves. I might be wrong here but ..read more

Say I want to start offering a discount for shopping in my store. I want to run a test to see if it's a cost-effective idea. I demand an improvement of $d in average sale $s to compensate for the cost of the discount. I start offering the discount randomly to every second customer. Given the average traffic in my store, I determine I should be running the experiment for at least 4 months to determine the true effect equal to d at alpha 0.05 with 0.8 power. Should my hypothesis be: H0: s_exp - s_ctrl < d And then if I reject it means there's evidence the discount is cost effective (and so ..read more

I’m trying to build a dashboard- PowerBI/Tableau which would serve as a one stop solution to most of the ad hoc analytics request that our stakeholders have. But in the past we observed that the adoption of such dashboards by them is not that great. Did anyone in the sub try this initiative, and what are the important factors to keep in mind before you go into such venture. submitted by /u/satchelbrothers78 [visit reddit] [comments ..read more

How much in your daily career life do you feel like an Excel Monkey where you spend most of your work load in Excel? I’m currently in a modeling role in the insurance industry looking to see if it is time to branch out to other industries or if my expectations are too high. submitted by /u/Adventurous_Ad8127 [visit reddit] [comments ..read more

Yes, "data professional" means nothing so I shouldn't take this seriously. But if by chance it means "data scientist"... why this people are purposely lying? You cannot be a data scientist "without programming". Plain and simple. Programming is not something "that helps" or that "makes you a nerd" (sic), it's basically the core job of a data scientist. Without programming, what do you do? Stare at the data? Attempting linear regression in Excel? Creating pie charts? Yes, the whole thing can be dismisses by the fact that "data professional" means nothing, so of course you don't need progr ..read more