Questions tagged [management]

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Which are the strategies to counter the 80/20 dilema in Data Science projects?

Most of the time in Data Science projects is not spent in (performing) actual analytics but rather in other tasks, such as organizing data sources, collecting samples and preparing datasets, compiling ...
2
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0answers
19 views

Best practices for scaling data science / engineering teams

I am trying to find best practices for scaling data science teams, i.e find an efficient workflow/methodology to divide work between Software Engineers and Researchers working on a same product. I’...
0
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2answers
31 views

Keep track of trainings, datasets eetc

After searching quite some time for it on Google I could not find a sufficient software/toolbox that can manage trainings of neural networks. I thought of a program that combines visualization ...
2
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1answer
42 views

How to build a data analysis pipeline procedure

I have a series of scripts. Some are in R, some in Python, and others in SAS. I have built them in such a way that one code outputs a .csv file that the next code obtains and then that code outputs a ....
2
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2answers
34 views

How do you avoid 'analysis paralysis' when choosing a method to implement?

When you have multiple methods to accomplish a task, how do you choose which one to implement?
2
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1answer
221 views

How clustering is used in data management? [closed]

Can anyone please tell me how is clustering is used in data management? I was recently asked this question and was left totally stumped.
1
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0answers
56 views

What tools to manage multiple machine learning projects in python do you use?

I will soon deal with multiple projects in python. Some of them have to run regularly (many times a day), they can take some time (many days) and they use/produce some data coming from and going to ...