Articles-n-Algorithms

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Articles-n-Algorithms

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Interesting papers and algorithms

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## Articles
### Random
1. [Thoughts on Building Weatherproof Companies](Thoughts on Building Weatherproof Companies)
2. [Valuable companies take decades to build](http://www.vanityfair.com/news/2016/03/chamath-palihapitiya-interview-says-start-ups-are-mostly-crap)
- [Flow: Mapping an object — Medium](https://medium.com/@thejameskyle/flow-mapping-an-object-373d64c44592#.v9gecdwq0)
- [Jeff Morrison - A Deepdive Into Flow at react-europe 2016 - YouTube](https://www.youtube.com/watch?v=VEaDsKyDxkY)
- [Fast and Accurate Document Detection for Scanning | Dropbox Tech Blog](https://blogs.dropbox.com/tech/2016/08/fast-and-accurate-document-detection-for-scanning/)
- [Large Diffs Are Hurting Your Ability To Ship — Medium](https://medium.com/@kurtisnusbaum/large-diffs-are-hurting-your-ability-to-ship-e0b2b41e8acf#.jf8frdg93)
- [Stranger Things’ score is a gateway into synthwave · For Our Consideration · The A.V. Club](http://www.avclub.com/article/stranger-things-score-gateway-synthwave-240466)
- [Testing the Bejeezus out of React Native Apps with AVA — Red Shift](https://shift.infinite.red/testing-the-bejeezus-out-of-react-native-apps-with-ava-330f51f8f6c3#.7la01o2s9)
- [Zero-cost futures in Rust · Aaron Turon](http://aturon.github.io/blog/2016/08/11/futures/)
- [What Happened Before History? Human Origins - YouTube](https://www.youtube.com/watch?v=dGiQaabX3_o)
- [Genetic Engineering Will Change Everything Forever – CRISPR - YouTube](https://www.youtube.com/watch?v=jAhjPd4uNFY)
- [Answer to What is it like to understand advanced mathematics? - Quora](https://www.quora.com/What-is-it-like-to-understand-advanced-mathematics/answers/873950?srid=p6KQ&amp;share=1)
- [Journey to HTTP/2 · @kamran](http://kamranahmed.info/blog/2016/08/13/http-in-depth/)
- [Shape of errors to come - The Rust Programming Language Blog](https://blog.rust-lang.org/2016/08/10/Shape-of-errors-to-come.html)
- [Behind the Scenes of iOS Security - YouTube](https://www.youtube.com/watch?v=BLGFriOKz6U)
- [All Olympic Logos, Ordered By Quality — Mike Industries](https://medium.mikeindustries.com/all-olympic-logos-ordered-by-quality-965e1cc7d0cb#.faq1p9c8o)
- [A Few Thoughts on Cryptographic Engineering: Is Apple's Cloud Key Vault a crypto backdoor?](http://blog.cryptographyengineering.com/2016/08/is-apples-cloud-key-vault-crypto.html?m=1)
- [thejameskyle/itsy-bitsy-data-structures: All the things you didn't know you wanted to know about data structures](https://github.com/thejameskyle/itsy-bitsy-data-structures)
- [Smaller and faster data compression with Zstandard | Engineering Blog | Facebook Code](https://code.facebook.com/posts/1658392934479273/smaller-and-faster-data-compression-with-zstandard/)
- [AOMedia Video 1 - Wikipedia, the free encyclopedia](https://en.m.wikipedia.org/wiki/AOMedia_Video_1)

### Math
1. [An Intuitive Guide to Linear Algebra](http://betterexplained.com/articles/linear-algebra-guide/)
2. [An Interactive Guide To The Fourier Transform](http://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/)
3. [THE $25,000,000,000∗ EIGENVECTOR THE LINEAR ALGEBRA BEHIND GOOGLE](http://www.rose-hulman.edu/~bryan/googleFinalVersionFixed.pdf)
4. [Eigenvectors and Eigenvalues Explained Visually](http://setosa.io/ev/eigenvectors-and-eigenvalues/)

# Info Sec To-Read
### Books
* [Bulletproof SSL and TLS](https://www.feistyduck.com/books/bulletproof-ssl-and-tls/) (Ristić)
* [The Field Guide to Understanding 'Human Error'](http://amazon.com/dp/1472439058) (Dekker)
* [The New School of Information Security](http://amazon.com/dp/0321502787) (Shostack and Stewart)
* [The Security Development Lifecycle](https://blogs.msdn.microsoft.com/microsoft_press/2016/04/19/free-ebook-the-security-development-lifecycle/) (Howard and Lipner)
* [The Tangled Web](http://amazon.com/dp/1593273886) (Zalewski)
* [The Web Application Hacker's Handbook](http://amazon.com/dp/8126533404) (Stuttard)
* [Threat Modeling: Designing for Security](http://amazon.com/dp/1118809998) (Shostack)

### Blog posts
* [A Tale of Security Gone Wrong](http://gavinmiller.io/2016/a-tale-of-security-gone-wrong/) (Miller)
* [Anatomy of a Crypto Vulnerability](https://alexgaynor.net/2016/mar/14/anatomy-of-a-crypto-vulnerability/) (Gaynor)
* [Bounty Launch Lessons](https://medium.com/starting-up-security/bounty-launch-lessons-c7c3be3f5b#.1hbi9xp4n) (McGeehan and Honeywell)
* [Building a Let's Encrypt client from scratch](https://github.com/alexpeattie/letsencrypt-fromscratch) (Peattie)
* [Cryptography Right Answers](https://gist.github.com/tqbf/be58d2d39690c3b366ad) (Ptacek)
* [HTTPS is Hard](https://blog.yell.com/2016/03/https-is-hard/) (Workman)
* [Incident Response at Heroku](https://blog.heroku.com/archives/2014/5/9/incident-response-at-heroku) (McGranaghan)
* [Security Breach 101](https://medium.com/starting-up-security/security-breach-101-b0f7897c027c) and [Security Breach 102](https://medium.com/starting-up-security/security-breach-102-d5fc88c5660f) (McGeehan)
* [Security Engineeing as Caring-For](https://noncombatant.org/2016/03/27/security-as-caring-for/) (Palmer)
* [What Werewolf teaches us about Trust & Security](https://eaves.ca/2013/11/07/what-werewolf-teaches-us-about-trust-security/) (Eaves)
* Who Fixes That Bug: [Part One: Them!](https://medium.com/starting-up-security/who-fixes-that-bug-d44f9a7939f2), [Part Two: Us!](https://medium.com/starting-up-security/who-fixes-that-bug-f17d48443e21) (McGeehan)

### Papers
* [2016 Data Breach Investigation Report](http://www.verizonenterprise.com/verizon-insights-lab/dbir/2016/insiders/) (Verizon Enterprise) - see also previous years: [2015](http://www.verizonenterprise.com/DBIR/2015/) [2014](http://www.verizonenterprise.com/DBIR/2014/reports/rp_Verizon-DBIR-2014_en_xg.pdf), [2013](http://www.verizonenterprise.com/resources/reports/rp_data-breach-investigations-report-2013_en_xg.pdf), [2012](http://www.verizonenterprise.com/resources/reports/rp_data-breach-investigations-report-2012_en_xg.pdf), [2011](http://www.verizonenterprise.com/resources/reports/rp_data-breach-investigations-report-2011_en_xg.pdf), [2010](http://www.verizonenterprise.com/resources/reports/rp_2010-data-breach-report_en_xg.pdf), [2009](http://www.verizonenterprise.com/resources/security/reports/2009_databreach_rp.pdf), [2008](http://www.verizonenterprise.com/resources/security/databreachreport.pdf).
* [BeyondCorp: A New Approach to Enterprise Security](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43231.pdf) (Ward, Beyer)
* [Doomed to Repeat History? Lessons from the Crypto Wars of the 1990s](https://static.newamerica.org/attachments/3407-doomed-to-repeat-history-lessons-from-the-crypto-wars-of-the-1990s/Crypto%20Wars_ReDo.7cb491837ac541709797bdf868d37f52.pdf) (Kehl, Wilson, and Bankston)
* [Practical Security Stories and Security Tasks for Agile Environments](http://safecode.org/publication/SAFECode_Agile_Dev_Security0712.pdf) (SAFECode)
* [Security for Startups: The Affordable Ten-Step Plan for Survival in Cyberspace](http://www.clearslide.com/view/mail?iID=4N4CK3RAZ62TSQ8FTVJV) (Cowan)
* [The Security of Modern Password Expiration: An Algorithmic Framework and Empirical Analysis]( http://cs.unc.edu/~fabian/papers/PasswordExpire.pdf) (Zhang, Monrose, and Reiter)

### Video
* [Crypto 101](https://www.youtube.com/watch?v=3rmCGsCYJF8) (Van Houtven)
* [Lessons Learned While Protecting Gmail](https://www.youtube.com/watch?v=nkV9kOsTyJU) (Bursztein)
* [Web Security Fundamentals](https://info.varonis.com/web-security-fundamentals) (Hunt)
* ["The Mess We're In" by Joe Armstrong](https://www.youtube.com/watch?v=lKXe3HUG2l4)
* [5 Biggest Legal Mistakes That Startups Make](https://www.youtube.com/watch?v=-F_vbfiScoA)
* [Alan Kay at OOPSLA 1997 - The computer revolution hasnt happened yet](https://www.youtube.com/watch?v=oKg1hTOQXoY)
* [Alan Kay, 2015: Power of Simplicity](https://www.youtube.com/watch?v=NdSD07U5uBs)
* [Are We There Yet?](https://www.infoq.com/presentations/Are-We-There-Yet-Rich-Hickey)
* [Bret Victor - Inventing on Principle](https://www.youtube.com/watch?v=PUv66718DII)
* [Bret Victor - Stop Drawing Dead Fish](https://www.youtube.com/watch?v=ZfytHvgHybA)
* [Bret Victor The Future of Programming](https://www.youtube.com/watch?v=8pTEmbeENF4)
* [Crockford on JavaScript](https://www.youtube.com/playlist?list=PL7664379246A246CB)
* [Daniel Kahneman: "Thinking, Fast and Slow" | Talks at Google](https://www.youtube.com/watch?v=CjVQJdIrDJ0)
* [Do schools kill creativity? | Sir Ken Robinson](https://www.youtube.com/watch?v=iG9CE55wbtY)
* [Donald Knuth - All Questions Answered](https://www.youtube.com/watch?v=CDokMxVtB3k)
* [Donald Knuth - My advice to young people (93/97)](https://www.youtube.com/watch?v=75Ju0eM5T2c)
* [Elon Musk Talks About Getting the Job Done](https://www.youtube.com/watch?v=MOPgM7Sc2VQ)
* [Google I/O 2009 - The Myth of the Genius Programmer](https://www.youtube.com/watch?v=0SARbwvhupQ)
* [Growing a Language, by Guy Steele](https://www.youtube.com/watch?v=_ahvzDzKdB0)
* [Guy Kawasaki - The Art of The Start](https://www.youtube.com/watch?v=7mEQ0ono8mg)
* [Guy Kawasaki: The Top 10 Mistakes of Entrepreneurs](https://www.youtube.com/watch?v=HHjgK6p4nrw)
* [Hamming, "Creativity" (May 23, 1995)](https://www.youtube.com/watch?v=FlTybZvds0U)
* [Hamming, "You and Your Research" (June 6, 1995)](https://www.youtube.com/watch?v=a1zDuOPkMSw)
* [How to Write a Great Research Paper](https://www.youtube.com/watch?v=g3dkRsTqdDA)
* [How to Write Clean, Testable Code](https://www.youtube.com/watch?v=XcT4yYu_TTs)
* [Instant Loading: Building offline-first Progressive Web Apps - Google I/O 2016](https://www.youtube.com/watch?v=cmGr0RszHc8)
* [Is it really "Complex"? Or did we just make it "Complicated"?](https://www.youtube.com/watch?v=ubaX1Smg6pY)
* [JavaScript: The Good Parts](https://www.youtube.com/watch?v=hQVTIJBZook)
* [Learning from StackOverflow.com](https://www.youtube.com/watch?v=NWHfY_lvKIQ)
* [Leslie Lamport: Thinking Above the Code](https://www.youtube.com/watch?v=-4Yp3j_jk8Q) ([Thinking for Programmers: Rising Above the Code](https://www.youtube.com/watch?v=kq2IukJmQYw))
* [Martin Fowler – Microservices](https://www.youtube.com/watch?v=2yko4TbC8cI)
* [Media for Thinking the Unthinkable](https://vimeo.com/67076984)
* [Mining Online Data Across Social Networks](https://www.youtube.com/watch?v=IBov98-LIbI)
* [Must-See Tech Talks for Every Programmer](http://www.ybrikman.com/writing/2014/05/29/must-see-tech-talks-for-every-programmer/)
* [On Getting Creative Ideas](https://www.youtube.com/watch?v=KXoHXc0ErBI)
* [Pedro Domingos: "The Master Algorithm" | Talks at Google](https://www.youtube.com/watch?v=B8J4uefCQMc)
* [Peter Norvig - The Unreasonable Effectiveness of Data](https://www.youtube.com/watch?v=yvDCzhbjYWs)
* [Philip Roberts: What the heck is the event loop anyway? | JSConf EU 2014](https://www.youtube.com/watch?v=8aGhZQkoFbQ)
* [Randy Pausch Last Lecture: Achieving Your Childhood Dreams](https://www.youtube.com/watch?v=ji5_MqicxSo)
* [Randy Pausch Lecture: Time Management](https://www.youtube.com/watch?v=oTugjssqOT0)
* [Richard Hamming: "Learning to Learn"](https://www.youtube.com/playlist?list=PL2FF649D0C4407B30)
* [Rob Pike - 'Concurrency Is Not Parallelism'](https://www.youtube.com/watch?v=cN_DpYBzKso)
* [Simple Made Easy](https://www.infoq.com/presentations/Simple-Made-Easy)
* [Simplicity Ain't Easy - Stuart Halloway](https://www.youtube.com/watch?v=cidchWg74Y4)
* [Steve Blank: How to Build a Great Company, Step by Step (8/14/12)](https://www.youtube.com/watch?v=1RTcXwJuCaU)
* [Steve Jobs' 2005 Stanford Commencement Address](https://www.youtube.com/watch?v=UF8uR6Z6KLc)
* [Surviving the Framework Hype Cycle by Brandon Hays test](https://www.youtube.com/watch?v=9zc4DSTRGeM)
* [Susan Cain: "Quiet" | Talks at Google](https://www.youtube.com/watch?v=AzlCIS072_Y)
* [Tech Talk: Linus Torvalds on git](https://www.youtube.com/watch?v=4XpnKHJAok8)
* [TechZulu Presents: Biggest Legal Mistakes Startups Make](https://www.youtube.com/playlist?list=PL781A6B5157F611A0)
* [The Mother of All Demos, presented by Douglas Engelbart (1968)](https://www.youtube.com/watch?v=yJDv-zdhzMY)
* [The Next Generation of Neural Networks](https://www.youtube.com/watch?v=AyzOUbkUf3M)
* [The thrilling potential of SixthSense technology | Pranav Mistry](https://www.youtube.com/watch?v=YrtANPtnhyg)
* [Wat](https://www.destroyallsoftware.com/talks/wat)
* [We Really Don't Know How To Compute!](https://www.infoq.com/presentations/We-Really-Dont-Know-How-To-Compute)

# Services Engineering Reading List
### Papers

* [Fault Injection in Production](http://queue.acm.org/detail.cfm?id=2353017) (Allspaw)
* [Making Reliable Distributed Systems in the Presence of Software Errors](http://www.erlang.org/download/armstrong_thesis_2003.pdf) (Armstrong)
* [Highly Available Transactions: Virtues and Limitations](http://www.bailis.org/papers/hat-vldb2014.pdf) (Bailis et al.)
* [The Incident Command System](http://www.high-reliability.org/files/The_Incident_Command_System.pdf) (Bigley and Roberts)
* [The Chubby Lock Service for Loosely Coupled Distributed Systems](http://static.googleusercontent.com/external_content/untrusted_dlcp/research.google.com/en/us/archive/chubby-osdi06.pdf) (Burrows)
* [Bigtable: a Distributed Storage System for Structured Data](http://www.read.seas.harvard.edu/~kohler/class/cs239-w08/chang06bigtable.pdf) (Chang et al.)
* [Spanner: Google’s Globally-Distributed Database](http://research.google.com/archive/spanner-osdi2012.pdf) (Corbett et al.)
* [Dynamo: Amazon’s Highly Available Key-Value Store](http://www.read.seas.harvard.edu/~kohler/class/cs239-w08/decandia07dynamo.pdf) (DeCandia et al.)
* [MapReduce: Simplified Data Processing on Large Clusters](http://research.google.com/archive/mapreduce-osdi04.pdf) (Dean and Ghemawat)
* [The Google File System](http://research.google.com/archive/gfs-sosp2003.pdf) (Ghemawat et al.)
* [On Designing and Deploying Internet Scale Services](http://mvdirona.com/jrh/talksAndPapers/JamesRH_Lisa.pdf) (Hamilton)
* [Kafka: A Distributed Messaging System for Log Processing](http://research.microsoft.com/en-us/UM/people/srikanth/netdb11/netdb11papers/netdb11-final12.pdf) (Kreps et al.)
* [Weathering the Unexpected](http://queue.acm.org/detail.cfm?id=2371516) (Krishnan)
* [The Unified Logging Infrastructure for Data Analytics at Twitter](http://vldb.org/pvldb/vol5/p1771_georgelee_vldb2012.pdf) (Lee et al.)
* [Automatic Management of Partitioned, Replicated Search Services](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.222.1862&rep=rep1&type=pdf) (Leibert et al.)
* [Learning to Embrace Failure](http://best.dtu.dk/SC13/p20-casestudy.pdf) (Limoncelli et al.)
* [Scaling Big Data Mining Infrastructure: The Twitter Experience](http://www.kdd.org/sites/default/files/issues/14-2-2012-12/V14-02-02-Lin.pdf) (Lin and Rayboy)
* [Dremel: Interactive Analysis of Web-Scale Datasets](http://static.googleusercontent.com/external_content/untrusted_dlcp/research.google.com/en/us/pubs/archive/36632.pdf) (Melnik et al.)
* [Out of the Tar Pit](http://shaffner.us/cs/papers/tarpit.pdf) (Moseley and Marks)
* [The Log-Structured Merge-Tree](http://www.cs.umb.edu/~poneil/lsmtree.pdf) (O'Neil et al.)
* [In Search of an Understandable Consensus Algorithm](https://ramcloud.stanford.edu/wiki/download/attachments/11370504/raft.pdf) (Ongaro and Ousterhout)
* [Failure Trends in a Large Disk Drive Population](http://static.googleusercontent.com/external_content/untrusted_dlcp/research.google.com/en/us/archive/disk_failures.pdf) (Pinheiro et al.)
* [Fallacies of Distributed Computing Explained](http://www.rgoarchitects.com/Files/fallacies.pdf) (Rotem-Gal-Oz)
* [F1 - The Fault-Tolerant Distributed RDBMS Supporting Google’s Ad Business](http://research.google.com/pubs/archive/38125.pdf) (Shute et al.)
* [Dapper, A Large Scale Distributed Systems Tracing Infrastructure](http://research.google.com/pubs/archive/36356.pdf) (Sigelman et al.)
* [Resident Distributed Datasets: a Fault-Tolerant Abstraction for In-Memory Cluster Computing](https://www.usenix.org/system/files/conference/nsdi12/nsdi12-final138.pdf) (Zahari et al.)
* [The Human Side of Postmortems](https://docs.google.com/file/d/0Byl4UKRYLErDVlJMNDNjaThiR2M/edit) (Zwieback)
* [Crew Resource Management: a Positive Change for the Fire Service](http://www.iaff.org/06news/NearMissKit/6.%20Crew%20Resource%20Management/CRM.pdf)

### Posts
* [Resilience Engineering: Part I](http://www.kitchensoap.com/2011/04/07/resilience-engineering-part-i/), [Part II](http://www.kitchensoap.com/2012/06/18/resilience-engineering-part-ii-lenses/) (Allspaw)
* [Systems Engineering: a Great Definition](http://www.kitchensoap.com/2011/07/18/systems-engineering-great-definition/) (Allspaw)
* [Chaos Monkey Released Into The Wild](http://techblog.netflix.com/2012/07/chaos-monkey-released-into-wild.html) (Bennett and Tseitlin)
* [Some Rules for Engineering and Operations](http://blog.b3k.us/2012/01/24/some-rules.html) (Black)
* [Service Level Disagreements Part I](http://blog.b3k.us/2009/07/15/service-level-disagreements.html), [Part II](http://blog.b3k.us/2009/07/16/service-level-disagreements-2.html) (Black)
* [Incuriosity Will Kill Your Infrastructure](http://yellerapp.com/posts/2015-03-16-incuriosity-killed-the-infrastructure.html) (Crayford)
* [My Philosophy on Alerting](https://docs.google.com/document/d/199PqyG3UsyXlwieHaqbGiWVa8eMWi8zzAn0YfcApr8Q/edit#heading=h.whsaboyw21nk) (Ewaschuk)
* [You Can’t Sacrifice Partition Tolerance](http://codahale.com/you-cant-sacrifice-partition-tolerance/) (Hale)
* [Customer Trust](http://perspectives.mvdirona.com/2013/01/15/CustomerTrust.aspx) (Hamilton)
* [Observations on Errors, Corrections, & Trust of Dependent Systems](http://perspectives.mvdirona.com/2012/02/26/ObservationsOnErrorsCorrectionsTrustOfDependentSystems.aspx) (Hamilton)
* [Game Day Exercises at Stripe: Learning from `kill -9`](https://stripe.com/blog/game-day-exercises-at-stripe) (Hedlund)
* [Life Beyond Distributed Transactions: An Apostate’s Opinion](http://cs.brown.edu/courses/cs227/archives/2012/papers/weaker/cidr07p15.pdf) (Helland)
* [Notes on Distributed Systems for Young Bloods](http://www.somethingsimilar.com/2013/01/14/notes-on-distributed-systems-for-young-bloods/) (Hodges)
* [The Network is Reliable](http://aphyr.com/posts/288-the-network-is-reliable) (Kingsbury)
* [The Trouble with Clocks](http://aphyr.com/posts/299-the-trouble-with-timestamps) (Kingsbury)
* [Call Me Maybe: Final Thoughts](http://aphyr.com/posts/286-call-me-maybe-final-thoughts) (Kingsbury)
* [Getting Real About Distributed Systems Reliability](http://blog.empathybox.com/post/19574936361/getting-real-about-distributed-system-reliability) (Kreps)
* [The Log: What every software engineer should know about real-time data's unifying abstraction](http://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying) (Kreps)
* [Incident Response at Heroku](https://blog.heroku.com/archives/2014/5/9/incident-response-at-heroku) (McGranaghan)
* [On HTTP Load Testing](http://www.mnot.net/blog/2011/05/18/http_benchmark_rules) (Nottingham)
* [Observability at Twitter](https://blog.twitter.com/2013/observability-at-twitter) (Watson)
* [Stevey’s Google Platforms Rant](https://plus.google.com/112678702228711889851/posts/eVeouesvaVX) (Yegge)

### Presentations
* [Design, Lessons, and Advice from Building Distributed Systems at Google](http://www.cs.cornell.edu/projects/ladis2009/talks/dean-keynote-ladis2009.pdf) (Dean)
* [Service Design Best Practices](http://www.mvdirona.com/jrh/TalksAndPapers/JamesHamilton_POA20090226.pdf) (Hamilton)

### Books
* [The Field Guide To Understanding Human Error](http://www.amazon.com/Field-Guide-Understanding-Human-Error/dp/0754648265) (Dekker)
* [Agile Retrospectives: Making Good Teams Great](http://www.amazon.com/Agile-Retrospectives-Making-Teams-Great/dp/0977616649) (Derby et al.)
* [Better: A Surgeon’s Notes on Performance](http://www.amazon.com/dp/0312427654) (Gawande)
* [The Checklist Manifesto: How to Get Things Right](http://www.amazon.com/The-Checklist-Manifesto-ebook/dp/B0030V0PEW) (Gawande)
* [High Performance Browser Networking](http://chimera.labs.oreilly.com/books/1230000000545/index.html) (Grigorik)
* [Resilience Engineering in Practice](http://www.amazon.com/Resilience-Engineering-Practice-Ashgate-Studies/dp/1409410358/) (Hollnagel et al.)
* [Effective Monitoring and Alerting](http://www.amazon.com/Effective-Monitoring-Alerting-For-Operations/dp/1449333524) (Ligus)
* [Release It!: Design and Deploy Production-Ready Software](http://www.amazon.com/Release-It-Production-Ready-Pragmatic-Programmers/dp/0978739213) (Nygard)
* [The Challenger Launch Decision](http://www.amazon.com/The-Challenger-Launch-Decision-Technology/dp/0226851761) (Vaughan)
* [Managing the Unexpected](http://www.amazon.com/gp/product/B004IK9U4U) (Weick and Sutcliffe)

### Research Groups
* [Berkley AMP Lab](https://amplab.cs.berkeley.edu/)
* [Berkeley Database Group](http://db.cs.berkeley.edu/w/)
* [Google Research](http://research.google.com/)
* [Microsoft Systems Research](http://research.microsoft.com/en-US/groups/sr/default.aspx)
* [Twitter Research](https://engineering.twitter.com/research)

### Conferences
* [Monitorama](http://monitorama.com/)
* [Ricon](http://ricon.io/)
* [Surge](http://surge.omniti.com/)
* [Velocity](http://velocityconf.com/)

### Deep Learning Papers
## Recurrent Neural Networks
- [Bidirectional Recurrent Neural Networks](http://www.di.ufpe.br/~fnj/RNA/bibliografia/BRNN.pdf) (Better classifications with RNNs!)
- [Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation](https://arxiv.org/pdf/1406.1078v3.pdf) (Two networks in one combined into a seq2seq (sequence to sequence) Encoder–Decoder architecture. RNN Encoder–Decoder with 1000 hidden units. Adadelta optimizer.)
- [Sequence to Sequence Learning with Neural Networks](http://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf) (4 stacked LSTM cells of 1000 hidden size with reversed input sentences, and with beam search, on the WMT’14 English to French dataset)
- [Exploring the Limits of Language Modeling](https://arxiv.org/pdf/1602.02410.pdf) (Nice recursive models using word level LSTMs on character level CNN using an overkill amount of GPU power)
- [Exploring the Depths of Recurrent Neural Networks with Stochastic Residual Learning](https://cs224d.stanford.edu/reports/PradhanLongpre.pdf) (Basically, residual connections can be better than stacked RNNs in the presented case of sentiment analysis)
- [Neural Turing Machines](https://arxiv.org/pdf/1410.5401v2.pdf) (Outstanding for implementing simple neural algorithms with seemingly good generalisation)
- [Teaching Machines to Read and Comprehend](https://arxiv.org/pdf/1506.03340v3.pdf) (A very interesting and creative work about textual question answering, there is something to do with that)
- [Pixel Recurrent Neural Networks](https://arxiv.org/pdf/1601.06759.pdf) (Nice for photoshop-like "content aware fill" to fill missing patches in images)
- [Adaptive Computation Time for Recurrent Neural Networks](https://arxiv.org/pdf/1603.08983v4.pdf) (Very interesting, I would love to see how well would it combines to Neural Turing Machines. Interesting interactive visualizations on the subject can be found [here](http://distill.pub/2016/augmented-rnns/).)

## Convolutional Neural Networks
- [What is the Best Multi-Stage Architecture for Object Recognition?](http://yann.lecun.com/exdb/publis/pdf/jarrett-iccv-09.pdf) (For the use of "local contrast normalization")
- [ImageNet Classification with Deep Convolutional Neural Networks](http://www.cs.toronto.edu/~fritz/absps/imagenet.pdf) (AlexNet, 2012 ILSVRC, breakthrough of the ReLU activation function)
- [Visualizing and Understanding Convolutional Networks](https://arxiv.org/pdf/1311.2901v3.pdf) (For the "deconvnet layer")
- [Very Deep Convolutional Networks for Large-Scale Image Recognition](https://arxiv.org/pdf/1409.1556v6.pdf) (For the idea of stacking multiple 3x3 conv+ReLU before pooling for a bigger filter size with few parameters, also there is a nice table for "ConvNet Configuration")
- [Going Deeper with Convolutions](http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Szegedy_Going_Deeper_With_2015_CVPR_paper.pdf) (GoogLeNet: Appearance of "Inception" layers/modules, the idea is of parallelizing conv layers into many mini-conv of different size with "same" padding, concatenated on depth)
- [Highway Networks](https://arxiv.org/pdf/1505.00387v2.pdf) (Highway networks: residual connections)
- [Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift](https://arxiv.org/pdf/1502.03167v3.pdf) (Batch normalization (BN): to normalize a layer's output by also summing over the entire batch, and then performing a linear rescaling and shifting of a certain trainable amount)
- [Deep Residual Learning for Image Recognition](https://arxiv.org/pdf/1512.03385v1.pdf) (Very deep residual layers with batch normalization layers - a.k.a. "how to overfit any vision dataset with too many layers")
- [Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning](https://arxiv.org/pdf/1602.07261v2.pdf) (For improving GoogLeNet with residual connections)
- [WaveNet: a Generative Model for Raw Audio](https://arxiv.org/pdf/1609.03499v2.pdf) (Epic raw voice/music generation with new architectures based on dilated causal convolutions to capture more audio lenght)

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