[ 3 / biz / cgl / ck / diy / fa / ic / jp / lit / sci / vr / vt ] [ index / top / reports ] [ become a patron ] [ status ]
2023-11: Warosu is now out of extended maintenance.

/sci/ - Science & Math

View post   
File: 195 KB, 890x670, 1489152832898.jpg [View same] [iqdb] [saucenao] [google]
9403707 No.9403707 [Reply] [Original]

So I'm switching from daily software development (health care and finances) to this
>big data
field in less that half a year.

From what I've heard and googled about it so far, it looks like combination of some technical skills (data preparation, making software actually working, programming, distributed/parallel computing etc.), applied math (mostly statistics), clever use of linear algebra (nn) and sometimes some basic graph theory. It has been a while since I've left the uni for my 300k starting, and need to refresh a bit.

Is there any relevant literature for the topics you would reccomend or it's just better to revisit all the "indroduction to ..."s classics?

>inb4 online courses
brainlet level

>> No.9403749

>>9403707
>big data

>> No.9403755
File: 9 KB, 645x773, 1514393022707.gif [View same] [iqdb] [saucenao] [google]
9403755

>>9403749
>data science
actually

>> No.9404841

>>9403755
recommended literature?? no, not for 99% of jobs. The data science dudes where I work really just need to know SQL and be able to google random equations. I'd suggest just playing around with large data sets and compute random stats about it. Pick something fun like elo scores or something

>> No.9405319

>>9403707
>going from software development to "data science"
Why would you choose to downgrade yourself like that?

>> No.9405545

>>9403707
How would you not want to kill yourself everyday being part of the botnet cancer