learning   215885

« earlier    

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.

[image]

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.”

[image]

“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

« earlier    

related tags

!  **  -  2018-05-22  2018  21apples  accessibility  accretion  accumulation  action  adhd  ai  algebra  algorithm  algorithms  alicedewey  altmba  altschool  analysis  analytics  and  ann  archive  archives  article  articles  artificial  averaging  avoidance  awesome-list  awesome-something  awesome  bandit  basketball  beets  birds  book  books  brain  build  business  buttons  card  career  catalog  childhood  children  classes  clouds  code  coding  comedy  comments  completeness  computer  content  cornell  course  courses  craftsmanship  creativity  cs  css  data  datascience  deaccessioning  deborhmeier  decision  deep-learning  deep  design  dev  development  digital  dl  documentation  dorothyhoward  education  electronics  ellaflagyoung  engineering  english  enterprise  entertainment  ethics  eu  european  farnamstreet  fast.ai  flash  flexibility  fluentforever  for_twins  forget  framework  francisparker  fredrogers  free  freeschools  frictionless  functional  future  games  general  genetics  georgelakoff  git  google-io  google  governing  graphics  gtd  guide  hackernews  hacking  ham  haskell  history  homework  howto  howwelearn  html  ideas  identity  instapaper  intelligence  internet  japan  javascript  johndewey  khanlabschool  khanlabschools  knowledge  labor  labschools  lagger  language  larrycuban  latin  laurelschwulst  leadership  learn  linear  linux  london  machine-learning  machine  machinelearning  making  markjohnson  markov  material  math  maths  mba  media  memory  metadate  metaphor  microschools  ml  mooc  murmurations  music  myth  nba  networks  neural  neuroscience  nieuws  nintendo-labo  notes  notetaking  of  online  opal  opencourseware  opentextbooks  organisation  participatory  performance  pla  planning  policy  practice  privacy  productivity  programming  protection  prototyping  psychology  publications  purpose  python  random  reading  reference  regulation  reinforcement-learning  reinforcement  resource  resources  review  reward  robots  ruby  rules  salkhan  salmankhan  schooling  schools  science  scm  security  sensible  session  skepticism  small  software  speed-reading  speedreading  sports  storage  stories  studying  super-bunnyhop  swa  talks  teaching-and-learning  teaching  technology  tedsizer  tensorflow  thanthan  to  tolearn  top  toread  tounderstand  training  transformation  tutorial  tutorials  twitterthread  unfinished  video  vitoperrone  vue  vulnerability  web  webdesign  webdev  websites  weight  wifi  wireless  withdrawal  wonder  work  x11  youtube  zero 

Copy this bookmark:



description:


tags: