Entries from September 2015 ↓
September 30th, 2015 — pinboard
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September 29th, 2015 — pinboard
- Ta-Nehisi Coates leads diverse group of MacArthur ‘genius’ grant recipients | US news | The Guardian
- Maths whizz solves a master’s riddle : Nature News & Comment
- On Quitting: — Linda Eliasen
- The ultimate iPhone camera comparison: How does the iPhone 6s camera compare to every other iPhone generation? ~ snap snap snap
- Pattern Recognition and Machine Learning (Information Science and Statistics): Christopher Bishop: 9780387310732: Amazon.com: Books
Bishop
- Pattern Recognition and Machine Learning | Christopher Bishop | Springer
- Machine Learning in Action: Peter Harrington: 9781617290183: Amazon.com: Books
- An Introduction to Statistical Learning
with applications in R
- Elements of Statistical Learning: data mining, inference, and prediction. 2nd Edition.
Trevor Hastie
Robert Tibshirani
Jerome Friedman
- Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series): Daphne Koller, Nir Friedman: 8601401113034: Amazon.com: Books
Koller and Friedman
- Why I Fucking Hate Unicorns and the Culture They Breed | Bothsides of the Table
- Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters
Spark
- MillWheel: Fault-Tolerant Stream Processing at Internet Scale
MillWheel: Fault-Tolerant Stream Processing at
Internet Scale
- Why local state is a fundamental primitive in stream processing – O’Reilly Radar
What do you get if you cross a distributed database with a stream processing system?
- Apache Flink: Scalable Batch and Stream Data Processing
Flink’s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams.
Flink includes several APIs for creating applications that use the Flink engine:
DataSet API for static data embedded in Java, Scala, and Python,
DataStream API for unbounded streams embedded in Java and Scala, and
Table API with a SQL-like expression language embedded in Java and Scala.
Flink also bundles libraries for domain-specific use cases:
Machine Learning library, and
Gelly, a graph processing API and library.
You can integrate Flink easily with other well-known open source systems both for data input and output as well as deployment.
- Questioning the Lambda Architecture – O’Reilly Radar
Questioning the Lambda Architecture
The Lambda Architecture has its merits, but alternatives are worth exploring.
by Jay Kreps |@jaykreps | +Jay Kreps | Comments: 19 | July 2, 2014
- Storm, distributed and fault-tolerant realtime computation
Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language, and is a lot of fun to use!
Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate.
- How to beat the CAPÂ theorem – thoughts from the red planet – thoughts from the red planet
lambda architecture
- Nomad by HashiCorp
Easily deploy applications at any scale
A Distributed, Highly Available, Datacenter-Aware Scheduler
- hashicorp/nomad
A Distributed, Highly Available, Datacenter-Aware Scheduler https://www.nomadproject.io/
- thingCharger
- The world beyond batch: Streaming 101 – O’Reilly Radar
Tyler’s blog post
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September 28th, 2015 — pinboard
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September 27th, 2015 — pinboard
- ‘Quantico’ Star Priyanka Chopra: 12 Things You Need to Know About ABC’s New Action Heroine
- North America Just Ran Out of Old-School Internet Addresses | WIRED
- The Middle-Class Squeeze – WSJ
- Internet of Things – Bits – The New York Times
- A hydra-headed scourge | The Economist
Heroin in the Midwest
- Join seattlehacks on Slack!
- slackin/Readme.md at master · rauchg/slackin · GitHub
A little server that enables public access to a Slack server. Like Freenode, but on Slack.
- adidas Originals Stan Smith Snake Sneaker – Urban Outfitters
- Girls of a Certain Age – You know who you are.
- A List of Books that May Change your Life : Legal Nomads
- "Tsundoku," the Japanese Word for the New Books That Pile Up on Our Shelves, Should Enter the English Language | Open Culture
- Alice Zheng’s Homepage
- Commonsense Reasoning and Commonsense Knowledge in Artificial Intelligence | September 2015 | Communications of the ACM
- Fast, Scalable Machine Learning Platform | Dato
- sts10/jot · GitHub
- Free IoT Reports and Compilations – O’Reilly Media
- Setting up OSX and iTerm2 for Emacs
- Index – Apache ZooKeeper – Apache Software Foundation
ZooKeeper is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. All of these kinds of services are used in some form or another by distributed applications. Each time they are implemented there is a lot of work that goes into fixing the bugs and race conditions that are inevitable. Because of the difficulty of implementing these kinds of services, applications initially usually skimp on them ,which make them brittle in the presence of change and difficult to manage. Even when done correctly, different implementations of these services lead to management complexity when the applications are deployed.
ZooKeeper aims at distilling the essence of these different services into a very simple interface to a centralized coordination service. The service itself is distributed and highly reliable. Consensus, group management, and presence protocols will be implemented by the service so that the applications do not need to implement them on their own. Application specific uses of these will consist of a mixture of specific components of Zoo Keeper and application specific conventions. ZooKeeper Recipes shows how this simple service can be used to build much more powerful abstractions.
- Tectonic Summit
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September 26th, 2015 — pinboard
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September 25th, 2015 — pinboard
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September 24th, 2015 — pinboard
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September 23rd, 2015 — pinboard
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September 22nd, 2015 — pinboard
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September 21st, 2015 — pinboard
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