101 Uses for Content Mining — between the list in the post and the comments from readers, it’s a good introduction to some of the value to be obtained from full-text structured and unstructured access to scientific research publications.
Steve Yegge on GROK (YouTube) — The Grok Project is an internal Google initiative to simplify the navigation and querying of very large program source repositories. We have designed and implemented a language-neutral, canonical representation for source code and compiler metadata. Our data production pipeline runs compiler clusters over all Google’s code and third-party code, extracting syntactic and semantic information. The data is then indexed and served to a wide variety of clients with specialized needs. The entire ecosystem is evolving into an extensible platform that permits languages, tools, clients and build systems to interoperate in well-defined, standardized protocols.
Deep Learning for Semantic Analysis — When trained on the new treebank, this model outperforms all previous methods on several metrics. It pushes the state of the art in single sentence positive/negative classification from 80% up to 85.4%. The accuracy of predicting fine-grained sentiment labels for all phrases reaches 80.7%, an improvement of 9.7% over bag of features baselines. Lastly, it is the only model that can accurately capture the effect of contrastive conjunctions as well as negation and its scope at various tree levels for both positive and negative phrases.
Fireshell — workflow tools and framework for front-end developers.
textfsm — Python module which implements a template based state machine for parsing semi-formatted text. Originally developed to allow programmatic access to information returned from the command line interface (CLI) of networking devices. TextFSM was developed internally at Google and released under the Apache 2.0 licence for the benefit of the wider community.
The Money is in the Bitcoin Protocol (Vikram Kumar) — some of the basics in this post as well as how people are thinking about using the Bitcoin protocol to do some very innovative things. MUST. READ.
Deep Learning Using Support Vector Machines (Arxiv) — we are proposing to train all layers of the deep networks by backpropagating gradients through the top level SVM, learning features of all layers. Our experiments show that simply replacing softmax with linear SVMs gives significant gains on datasets MNIST, CIFAR-10, and the ICML 2013 Representation Learning Workshop’s face expression recognition challenge. (via Oliver Grisel)
techu Search Server — Techu exposes a RESTful API for realtime indexing and searching with the Sphinx full-text search engine. We leverage Redis, Nginx and the Python Django framework to make searching easy to handle & flexible.
In Defence of Digital Freedom — a member of the European Parliament’s piece on the risks to our online freedoms caused by framing computer security into cyberwarfare. Digital freedoms and fundamental rights need to be enforced, and not eroded in the face of vulnerabilities, attacks, and repression. In order to do so, essential and difficult questions on the implementation of the rule of law, historically place-bound by jurisdiction rooted in the nation-state, in the context of a globally connected world, need to be addressed. This is a matter for the EU as a global player, and should involve all of society. (via BoingBoing)
Addressing Human Trafficking Through Technology (danah boyd) — technologists love to make tech and then assert it’ll help people. Danah’s work on teens and now trafficking steers us to do what works, rather than what is showy or easiest.
Product Management (Rowan Simpson) — hand this to anyone who asks what product management actually is. Excellent explanation.