31–40 of 55 posts
Pluralsight, Safari Books Online, and small local conferences.
A good way to get Safari Books Online is to join the ACM organization. You get a subset of Safari and other bookstores for around $100 a year. There maybe others with the same deal.
Data Science - Johns Hopkins https://www.coursera.org/specialization/jhudatascience/1
Data Mining - UIUC (edit: was Johns Hopkins - bad copy/paste) https://www.coursera.org/specialization/datamining/20
There are more specializations that you can get here: https://www.coursera.org/specializations
It's kind of a layer on top of the free courses. I've been pleased so far. They'll also look nice in the education section of your resume, if you care about that.
Use the money as your salary. Work for four hours, research for the other four. Learning is free but time is limited. Ask your boss for four hours a day with the $2k dwindling according to your rate.
Hah, this is almost exactly what I just posted. Yes definitely use as salary so you can focus, I would see if you could take a week or two of to focus more intensely though.
I know how I'd spend the first $100: http://mitpress.mit.edu/books/introduction-algorithms I don't know about the other $1.9K.
Don't forget that you can stretch $2k a lot further on something like half.com instead of buying new books: http://product.half.ebay.com/Introduction-to-Algorithms-by-C...
There is only so much you can spend on books, I would suggest you register for an Algorithms/Data Structures course at a decent local university. It could be the Sophomore level Data structures + Basic Algo course or a senior level Algorithms, wherever your comfort level is. Since you mostly do front-end development, this could bring serious depth in your computing skills. For most CS programs, the data structures an…
I've started taking a couple of Coursera specialization tracts: Data Science - Johns Hopkins https://www.coursera.org/specialization/jhudatascience/1 Data Mining - UIUC (edit: was Johns Hopkins - bad copy/paste) https://www.coursera.org/specialization/datamining/20 There are more specializations that you can get here: https://www.coursera.org/specializations It's kind of a layer on top of the free courses. I've been…
I know how I'd spend the first $100: http://mitpress.mit.edu/books/introduction-algorithms I don't know about the other $1.9K.
Don't forget that you can stretch $2k a lot further on something like half.com instead of buying new books: http://product.half.ebay.com/Introduction-to-Algorithms-by-C...
Also, don't worry too much about getting the latest edition -- for the core things, it won't have changed much.
There is only so much you can spend on books, I would suggest you register for an Algorithms/Data Structures course at a decent local university. It could be the Sophomore level Data structures + Basic Algo course or a senior level Algorithms, wherever your comfort level is. Since you mostly do front-end development, this could bring serious depth in your computing skills. For most CS programs, the data structures an…
Analysis of algorithms can be a bit intense, and also hard to trudge through as it seemingly has little direct relevance to coding. I found it's better to be in a classroom of people you can work with together to get through it.
It's very much worth it though for the intuition you will take away from it.
I've started taking a couple of Coursera specialization tracts: Data Science - Johns Hopkins https://www.coursera.org/specialization/jhudatascience/1 Data Mining - UIUC (edit: was Johns Hopkins - bad copy/paste) https://www.coursera.org/specialization/datamining/20 There are more specializations that you can get here: https://www.coursera.org/specializations It's kind of a layer on top of the free courses. I've been…
The Data Mining one is from UIUC.
http://www.amazon.com/Programming-Pearls-2nd-Edition-Bentley...
It hasn't a lot of algorithms per se, but it has a lot of examples of how a different view on a problem can lead to an easier/more performant solution. It also does a good job at explaining tradeoffs. I think it's great for people that have had some basic introduction already.
[Ref link if anyone feels like it: http://amzn.to/1CnQUQ7]