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Brett Morgan
Works at Google
Attended Univeristy of Technology, Sydney
Lives in Sydney
11,929 followers|461,018 views
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So much better!
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Dart makes me a lot happier while developing for the web. 🙃
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So this Neural Network thing is pretty big, eh? 
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Just in time for the summer holiday hack season =)
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Because you really need to know where Santa is, amirite?
 
🎅🎄🎁 Santa Tracker has launched for 2015. Throughout December, new games and experiences will arrive every day, leading up to the jolly man's flight, starting on Dec 24th.

And, if you have a Google Cast device, be sure to send Santa to your TV!
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Angular 2 with Dart? Yup!
 
We are using Dart for truly mission critical web apps at Google -- and our excellent developer productivity remains a key selling point. Having first-class Dart support in Angular 2 doesn’t exactly hurt either. #dartlang 
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Yesterday afternoon I had the opportunity to chat with a prime example the next generation of software creators - the creator of a Sugar Calculator app Sam Winborn Sharp. Sam is going places!
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Sarah Heimlich is helping inspire our future robotic engineers!
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Empowering the next generation 🙂
 

Excited to share our work at Team Exponential ( +Team X) for inspiring 10x Moonshot thinking in K-12 through our open source 10x curriculum, Exponential Education.
Schools should be harnessing their unbridled nature towards solving humanities toughest challenges through 10x thinking.
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Intriguing perspective
 
There are five paradigms of machine learning: 1. Filling in gaps in existing knowledge with induction, 2. emulating the brain, 3. simulating evolution, 4. quantifying uncertainty using probability, and 5. reasoning by analogy, says Pedro Domingos. There are five tribes for each of the five paradigms: the symbolists, with their mathematical induction, the connectionists, with their neural networks and the backpropagation algorithm, the evolutionists, with genetic programming, the Bayesians, with probabilistic inference, and the analogizers, with their kernel machines.

Each of them can claim that (in theory, at least) they are capable of learning anything. But, in practice, each are good at some kinds of problems, and bad at all the others. None of them are good enough to make a robot that can cook dinner and wash the dishes. Can the five paradigms be combined into one "Master Algorithm" that can do what they all do, one algorithm that can truly learn anything. If so, what would that look like? Domingos has combined the symbolist and the Bayesian models, he says, which is a good start. He speculates that even combining the five major paradigms might not be enough to get us one algorithm that can learn anything -- it may take some new ideas yet to be invented.
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Yes.

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And this morning's big launch (for me at least) is the new Google Maps SDK for iOS, version 1.11.0. A bunch of bug fixes, but more importantly, we now have bitcode support! =)
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I made this. =)
Contribute to google-maps-services-go development by creating an account on GitHub.
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Clever Mouse ^_^
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Have him in circles
11,929 people
Dian Utami's profile photo
Gary Jr.'s profile photo
Tan Tee Lee's profile photo
Benton Morgan's profile photo
Dave Kozuki's profile photo
Md. Arif Hossain Khan Nion's profile photo
Shawn A Sequeira's profile photo
Julie Bonavita's profile photo
Jeremy Morales's profile photo
Education
  • Univeristy of Technology, Sydney
    Computer Science
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Male
Apps with Google+ Sign-in
  • Sky Force 2014 TV
  • Mr Flap
  • Geometry Race
  • Doctor Who:Legacy
  • Despicable Me:Minion Rush
  • Sheep Happens
Work
Occupation
Developer Relations
Employment
  • Google
    Developer Relations, 2010 - present
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Currently
Sydney
Previously
Sydney - Ballina
A beautiful mushroom risotto and tomato salad.
Public - a year ago
reviewed a year ago
1 review
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