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Education – Google AI
Learn with Google AI. Whether you're just learning to code or you're a seasoned machine learning practitioner, you'll find information and exercises in this resource center to help you develop your skills and advance your projects.
learning  machine-learning  ai  google 
6 minutes ago by LaptopHeaven
The King vs. Pawn Game of UI Design · An A List Apart Article
“Here’s Josh’s thinking: when you strip the game down to its core, everything you learn is a universal principle.”
accessibility  design  buttons  games  learning 
8 hours ago by leereamsnyder
Nintendo Labo and Theories of Edutainment - YouTube
A lot of non-parent, non-child gamers seem nonplussed by Nintendo Labo. Super Bunnyhop takes an in-depth look at why Labo is really exciting for the children lucky enough to grow up with it.
super-bunnyhop  nintendo-labo  learning 
9 hours ago by docprof
My website is a shifting house next to a river of knowledge. What could yours be? – The Creative Independent
"The web is what we make it

While an individual website could be any of those metaphors I mentioned above, I believe the common prevailing metaphor—the internet as cloud—is problematic. The internet is not one all-encompassing, mysterious, and untouchable thing. (In early patent drawings depicting the internet, it appears as related shapes: a blob, brain, or explosion.) These metaphors obfuscate the reality that the internet is made up of individual nodes: individual computers talking to other individual computers.


The World Wide Web recently turned 29. On the web’s birthday, Tim Berners Lee, its creator, published a letter stating the web’s current state of threat. He says that while it’s called the “World Wide Web,” only about half the world is connected, so we should close this digital divide.

But at the same time, Berners Lee wants to make sure this thing we’re all connecting to is truly working for us, as individuals: “I want to challenge us all to have greater ambitions for the web. I want the web to reflect our hopes and fulfill our dreams, rather than magnify our fears and deepen our divisions.”


“Metaphor unites reason and imagination,” says George Lakoff and Mark Johnson in their book, Metaphors We Live By (1980). “Metaphors are not merely things to be seen beyond. In fact, one can see beyond them only by using other metaphors. It is as though the ability to comprehend experience through metaphor were a sense, like seeing or touching or hearing, with metaphors providing the only ways to perceive and experience much of the world. Metaphor is as much a part of our functioning as our sense of touch, and as precious.”

Instead of a cloud, let’s use a metaphor that makes the web’s individual, cooperative nodes more visible. This way, we can remember the responsibility we each have in building a better web. The web is a flock of birds or a sea of punctuation marks, each tending or forgetting about their web garden or puddle home with a river of knowledge nearby.

If a website has endless possibilities, and our identities, ideas, and dreams are created and expanded by them, then it’s instrumental that websites progress along with us. It’s especially pressing when forces continue to threaten the web and the internet at large. In an age of information overload and an increasingly commercialized web, artists of all types are the people to help. Artists can think expansively about what a website can be. Each artist should create their own space on the web, for a website is an individual act of collective ambition."
laurelschwulst  knowledge  webdev  webdesign  internet  web  online  2018  websites  design  flexibility  purpose  creativity  learning  howwelearn  accumulation  accretion  making  murmurations  metaphor  clouds  birds  georgelakoff  markjohnson  completeness  unfinished  wonder  fredrogers  storage  archives  html 
11 hours ago by robertogreco
Simple Reinforcement Learning in Tensorflow: Part 1 - Two-armed Bandit
Reinforcement learning provides the capacity for us not only to teach an artificial agent how to act, but to allow it to learn through it’s own interactions with an environment. By combining the complex representations that deep neural networks can learn with the goal-driven learning of an RL agent, computers have accomplished some amazing feats, like beating humans at over a dozen Atari games, and defeating the Go world champion.
machine-learning  Reinforcement-Learning  deep  learning  bandit 
12 hours ago by patmcnally
Simple Reinforcement Learning with Tensorflow Part 1.5: Contextual Bandits
In Part 1 of my Simple RL series, we introduced the field of Reinforcement Learning, and I demonstrated how to build an agent which can solve the multi-armed bandit problem. In that situation, there…
deep  learning  reinforcement  bandit 
12 hours ago by patmcnally

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