ML   43733

« earlier    

A new hope: AI for news media | TechCrunch
machine learning can be utilized to create new forms of interaction between people, journalists and the newsroom. Automatically moderated commenting is just one example already in use today. Think if it would be possible to build interactions directly on the lock screen that let the journalists better understand the way content is consumed, simultaneously capturing in real time the emotions conveyed by the story.
ai  ml  t  personalisation  comments 
4 hours ago by paulbradshaw
Comet.ml | Supercharging Machine Learning
Supercharge Machine Learning
Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.
cloud  machinelearning  ml  ai  service 
18 hours ago by gugelproductions

« earlier    

related tags

advice  ai  algorithm  algorithms  api  archive  art  article  artificialintelligence  audiovisual  await  aws_sagemaker  bayes  bloomberg  book  business  chat  chatbot  clojure  cloud  clustering  cmu  code  colorization  comic  comments  computer  course  courses  crawler  creative-coding  creativity  data  datascience  dataset  datasets  deep-learning  deeplearning  design  dev  drawing  economy  education  emotion  examples  extraction  framework  free  generation  google  gpu  graphics  health  ifttt  important  index  interaction  introduction  jd  kaggle  kalman  learn  learning  lectures  library  literature  longread  machine-learning  machine  machinelearning  manga  math  microsoft  misreading  ml  mt  music-translation  networks  neural  neuralnetworks  nlp  nn  nvidia  online  opendata  opensource  paint  paper  papers  personal  personalisation  pinboard  platform  programming  python  r  release  research  resources  rstats  science  service  slides  spec  specification  speech-enhancement  speech  statistics  stats  sunday  super  supercomputer  t  tacotron  tensorflow  tool  tts  tutorial  ui  unread  ux  video  visualization  vs  wavenet  workshop  xgboost 

Copy this bookmark:



description:


tags: