Moved some additional knowledge items around.

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John Washam 2016-07-27 09:35:17 -07:00
parent 47c04bc3f6
commit 84e6f80129
1 changed files with 43 additions and 32 deletions

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@ -664,10 +664,6 @@ Then test it out on a computer to make sure it's not buggy from syntax.
- [ ] A*
- [ ] https://en.wikipedia.org/wiki/A*_search_algorithm
- Advanced Graph Processing:
- [ ] Synchronous Distributed Algorithms: Symmetry-Breaking. Shortest-Paths Spanning Trees: https://www.youtube.com/watch?v=mUBmcbbJNf4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=27
- [ ] Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees: https://www.youtube.com/watch?v=kQ-UQAzcnzA&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=28
- I'll implement:
- [ ] DFS with adjacency list
- [ ] DFS with adjacency matrix
@ -691,6 +687,14 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
Some items are sparse, and I'll be filling them in once I get here.
- [ ] **Recursion**
- when it is appropriate to use it
- how is tail recursion better than not?
- [ ] Short Series on Recurrence Relations: https://www.youtube.com/playlist?list=PLSVu1-lON6LybCHQs8Io_EhyrEQ4b1xAF
- [ ] Stanford lectures on recursion:
- [ ] https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8
- [ ] https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9
- [ ] **Dynamic Programming**
- [ ] Videos:
- [ ] CSE373 2012 - Lecture 19 - Introduction to Dynamic Programming: https://www.youtube.com/watch?v=Qc2ieXRgR0k&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b&index=19
@ -704,9 +708,6 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
- [x] 6.006: Dynamic Programming II: Text Justification, Blackjack: https://www.youtube.com/watch?v=ENyox7kNKeY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=20
- [ ] 6.006: DP III: Parenthesization, Edit Distance, Knapsack: https://www.youtube.com/watch?v=ocZMDMZwhCY&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=21
- [ ] 6.006: DP IV: Guitar Fingering, Tetris, Super Mario Bros.: https://www.youtube.com/watch?v=tp4_UXaVyx8&index=22&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb
- [ ] 6.046: Dynamic Programming & Advanced DP: https://www.youtube.com/watch?v=Tw1k46ywN6E&index=14&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp
- [ ] 6.046: Dynamic Programming: All-Pairs Shortest Paths: https://www.youtube.com/watch?v=NzgFUwOaoIw&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=15
- [ ] 6.046: Dynamic Programming (student recitation): https://www.youtube.com/watch?v=krZI60lKPek&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=12
- Coursera:
- [ ] The RNA secondary structure problem: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/80RrW/the-rna-secondary-structure-problem
@ -717,11 +718,17 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
- [ ] Global pairwise sequence alignment: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/UZ7o6/global-pairwise-sequence-alignment
- [ ] Local pairwise sequence alignment: https://www.coursera.org/learn/algorithmic-thinking-2/lecture/WnNau/local-pairwise-sequence-alignment
- [ ] **Garbage collection**
- [ ] https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25
- [ ] **Caches**
- LRU cache
- [ ] **Combinatorics (n choose k) & Probability**
- [ ] Make School: Probability: https://www.youtube.com/watch?v=sZkAAk9Wwa4
- [ ] Make School: More Probability and Markov Chains: https://www.youtube.com/watch?v=dNaJg-mLobQ
- [ ] MIT 6.042J - Probability Introduction: https://www.youtube.com/watch?v=SmFwFdESMHI&index=18&list=PLB7540DEDD482705B
- [ ] MIT 6.042J - Conditional Probability: https://www.youtube.com/watch?v=E6FbvM-FGZ8&index=19&list=PLB7540DEDD482705B
- [ ] MIT 6.042J - Independence: https://www.youtube.com/watch?v=l1BCv3qqW4A&index=20&list=PLB7540DEDD482705B
- [ ] MIT 6.042J - Random Variables: https://www.youtube.com/watch?v=MOfhhFaQdjw&list=PLB7540DEDD482705B&index=21
- [ ] MIT 6.042J - Expectation I: https://www.youtube.com/watch?v=gGlMSe7uEkA&index=22&list=PLB7540DEDD482705B
- [ ] MIT 6.042J - Expectation II: https://www.youtube.com/watch?v=oI9fMUqgfxY&index=23&list=PLB7540DEDD482705B
- [ ] MIT 6.042J - Large Deviations: https://www.youtube.com/watch?v=q4mwO2qS2z4&index=24&list=PLB7540DEDD482705B
- [ ] MIT 6.042J - Random Walks: https://www.youtube.com/watch?v=56iFMY8QW2k&list=PLB7540DEDD482705B&index=25
- [ ] **NP and NP Complete**
- Know about the most famous classes of NP-complete problems, such as traveling salesman and the knapsack problem,
@ -737,13 +744,11 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
- [ ] Complexity: Fixed-Parameter Algorithms: https://www.youtube.com/watch?v=4q-jmGrmxKs&index=25&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp
- [ ] Simonson: Approximation Algorithms: https://www.youtube.com/watch?v=oDniZCmNmNw&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=19
- [ ] **Recursion**
- when it is appropriate to use it
- how is tail recursion better than not?
- [ ] Short Series on Recurrence Relations: https://www.youtube.com/playlist?list=PLSVu1-lON6LybCHQs8Io_EhyrEQ4b1xAF
- [ ] Stanford lectures on recursion:
- [ ] https://www.youtube.com/watch?v=gl3emqCuueQ&list=PLFE6E58F856038C69&index=8
- [ ] https://www.youtube.com/watch?v=uFJhEPrbycQ&list=PLFE6E58F856038C69&index=9
- [ ] **Garbage collection**
- [ ] https://www.youtube.com/watch?v=StdfeXaKGEc&list=PL-XXv-cvA_iAlnI-BQr9hjqADPBtujFJd&index=25
- [ ] **Caches**
- LRU cache
- [ ] **String searching & manipulations**
- [ ] Search pattern in text: https://www.coursera.org/learn/data-structures/lecture/tAfHI/search-pattern-in-text
@ -761,23 +766,11 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
- [ ] Coursera: Algorithms on Strings:
- https://www.coursera.org/learn/algorithms-on-strings/home/week/1
- [ ] **Combinatorics (n choose k) & Probability**
- [ ] Make School: Probability: https://www.youtube.com/watch?v=sZkAAk9Wwa4
- [ ] Make School: More Probability and Markov Chains: https://www.youtube.com/watch?v=dNaJg-mLobQ
- [ ] MIT 6.042J - Probability Introduction: https://www.youtube.com/watch?v=SmFwFdESMHI&index=18&list=PLB7540DEDD482705B
- [ ] MIT 6.042J - Conditional Probability: https://www.youtube.com/watch?v=E6FbvM-FGZ8&index=19&list=PLB7540DEDD482705B
- [ ] MIT 6.042J - Independence: https://www.youtube.com/watch?v=l1BCv3qqW4A&index=20&list=PLB7540DEDD482705B
- [ ] MIT 6.042J - Random Variables: https://www.youtube.com/watch?v=MOfhhFaQdjw&list=PLB7540DEDD482705B&index=21
- [ ] MIT 6.042J - Expectation I: https://www.youtube.com/watch?v=gGlMSe7uEkA&index=22&list=PLB7540DEDD482705B
- [ ] MIT 6.042J - Expectation II: https://www.youtube.com/watch?v=oI9fMUqgfxY&index=23&list=PLB7540DEDD482705B
- [ ] MIT 6.042J - Large Deviations: https://www.youtube.com/watch?v=q4mwO2qS2z4&index=24&list=PLB7540DEDD482705B
- [ ] MIT 6.042J - Random Walks: https://www.youtube.com/watch?v=56iFMY8QW2k&list=PLB7540DEDD482705B&index=25
- [ ] **Scheduling**
- in an OS, how it works
- [ ] **Implement system routines**
- not sure what is mean by this
- not sure what is mean by this, like rewrite a file/stream handler?
- [ ] **Design patterns**
- description:
@ -1125,6 +1118,24 @@ Some of mine (I already may know answer to but want their opinion or team perspe
- [ ] **Parallel Programming**
- https://www.coursera.org/learn/parprog1/home/week/1
--
## Additional Learning
I added these to reinforce some ideas already presented above, but didn't want to include them
above because it's just too much. It's easy to overdo it on a subject.
You want to get hired in this century, right?
- [ ] **More Dynamic Programming**
- [ ] 6.046: Dynamic Programming & Advanced DP: https://www.youtube.com/watch?v=Tw1k46ywN6E&index=14&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp
- [ ] 6.046: Dynamic Programming: All-Pairs Shortest Paths: https://www.youtube.com/watch?v=NzgFUwOaoIw&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=15
- [ ] 6.046: Dynamic Programming (student recitation): https://www.youtube.com/watch?v=krZI60lKPek&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=12
- [ ] **Advanced Graph Processing**
- [ ] Synchronous Distributed Algorithms: Symmetry-Breaking. Shortest-Paths Spanning Trees: https://www.youtube.com/watch?v=mUBmcbbJNf4&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=27
- [ ] Asynchronous Distributed Algorithms: Shortest-Paths Spanning Trees: https://www.youtube.com/watch?v=kQ-UQAzcnzA&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=28
## Videos
Sit back and enjoy. "netflix and skill" :P