Four short links: 6 July 2017

Mobile Testing, Semantic Segmentation, Salary Gossip, and Word Analogies

By Nat Torkington
July 6, 2017
  1. OWASP Mobile Testing Guide — a work in progress, but useful.
  2. Semantic Segmentation Using Deep Learning — review of the techniques that help you categorize pixels in an image by which object in the image they belong to.
  3. Learn faster. Dig deeper. See farther.

    Join the O'Reilly online learning platform. Get a free trial today and find answers on the fly, or master something new and useful.

    Learn more
  4. Salary GossipTop 6% or so of engineers at Amazon, Oracle, Google, Facebook, Twitter are paid more than $1.3 million per year. Next 11% make $650,000 on average. […] $600,000 to $2 million packages are similarly becoming common in the U.S. Software engineers with 10 years experience should be making ~$420,000 per year with ~$210,000 salary. […] $240,000 to $470,000 packages are now common in China. […] Fresh MS graduates in the U.S. are getting $220,000+ packages at Google, Amazon, eBay, Twitter, LinkedIn, Airbnb, Facebook, Snapchat, will add more. No idea of the source, so take it all with a pillar of salt, but … holy crap. As a Kiwi, I approve of Do not go to Singapore, Germany, or U.K. Go to Canada, Australia, France, New Zealand, or South Africa instead.
  5. Word Vectors and SAT Analogies — clever approach using the SAT analogy questions to test how well the word vector technique (“king – man + woman = queen”) holds up to relatively real-life situations. He got 49% accuracy but notes: These methods are not the best-performing non-human technique for these SAT analogy questions. Littman and Turney report several. Latent Relational Analysis comes in at 56% accuracy, against the average U.S. college applicant at 57%.
Post topics: Four Short Links