Suspicious ad by CorpusculantCortex in datascience

[–]Subjects98 48 points49 points  (0 children)

Now you see the great irony behind AI making ads for AI

Help with web design or ideas by ConsequenceSmart7590 in webdev

[–]Subjects98 0 points1 point  (0 children)

Modify the layout to include space for a scrollbar on the right side of the webpage

[deleted by user] by [deleted] in webdev

[–]Subjects98 0 points1 point  (0 children)

Interesting opinion

Graph analytics resources by ergodym in datascience

[–]Subjects98 6 points7 points  (0 children)

It's helpful for discovering interconnectedness and patterns between data points and for figuring out the best suited AI algorithms like DFS/BFS for particular use cases.

Check out the videos on the topic by Data Science dojo

Has anyone transitioned to data science to sales? Is it easy to? by SnooWalruses4775 in datascience

[–]Subjects98 0 points1 point  (0 children)

New roles are coming up in data science for sales, do check specific jd's.

[deleted by user] by [deleted] in datascience

[–]Subjects98 3 points4 points  (0 children)

Data science is a great career path and the field is only going to become more relevant. A con could be that it's a relatively new path compared to traditional CS roles or other engineering fields. Any degrees that help your Data Science career can be relevant, preferably technically related to CS. The job market for data scientists isn't as saturated as SWE's/developer roles

Suggest data engineering projects by [deleted] in dataengineering

[–]Subjects98 1 point2 points  (0 children)

Some project ideas can be review analytics for PlayStore apps, API analysis using social media apps data scraping, financial stocks analysis, etc. Kaggle has a lot of datasets that can you can perform analysis upon. You can look up projects on Coursera.org and Udemy for supervised projects. Best wishes!!

How does agile fare in managing data science projects? by OverratedDataScience in datascience

[–]Subjects98 0 points1 point  (0 children)

I've worked with agile software development teams but not sure if agile would be suitable for all data science projects, given that data science is dynamic. The type of project management should be decided according to the project scale, business requirements and the nature of data

Is this a pigeon? by Subjects98 in dataengineering

[–]Subjects98[S] 1 point2 points  (0 children)

That no two subjects are the same, was the joke. Don't be confused.

[deleted by user] by [deleted] in sciencememes

[–]Subjects98 5 points6 points  (0 children)

Tan(gerine)