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Edward
A library for probabilistic modeling, inference, and criticism.
Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields: Bayesian statistics and machine learning, deep learning, and probabilistic programming.
python  machine.learning  statistics  deep.learning 
yesterday by jimmykduong
Machine Learning Confronts the Elephant in the Room
"A visual prank exposes an Achilles’ heel of computer vision systems: Unlike humans, they can’t do a double take."
machine.learning  deep.learning 
23 days ago by jimmykduong
Model Zoo - Pretrained deep learning models for transfer learning, educational purposes, and more
ModelZoo curates and provides a platform for deep learning researchers to easily find pre-trained models for a variety of platforms and uses. Find models that you need, for educational purposes, transfer learning, or other uses.
deep.learning  machine.learning  models  dataset  cnn 
june 2018 by tonious
302 Found
Want to learn about applied Artificial Intelligence from leading practitioners in Silicon Valley, New York, or Toronto? Learn more about the Insight Artificial Intelligence Fellows Program. via Pocket
pocket  ai  artificia.intelligence  deep.learning  education  learning  oreilly 
june 2018 by jburkunk
Northern Lights Deep Learning Workshop 2018 Tromsø ("North Pole") 10-11 January
Deep learning is an emerging subfield in machine learning that has in recent years achieved state-of-the-art performance in image classification, object detection, segmentation, time series prediction and speech recognition to name a few. This workshop will gather researchers both on a national and international level to exchange ideas, encourage collaborations and present cutting-edge research.
UiT.Tromso  workshop  events  machine.learning  deep.learning 
june 2018 by zeest
Sizing the potential value of AI and advanced analytics | McKinsey & Company
An analysis of more than 400 use cases across 19 industries and nine business functions highlights the broad use and significant economic potential of advanced AI techniques. via Pocket
pocket  ai  analysis  article  briefing  business  cases  deep.learning  impact  review  strategy 
may 2018 by jburkunk
To Build Truly Intelligent Machines, Teach Them Cause and Effect | Quanta Magazine
Artificial intelligence owes a lot of its smarts to Judea Pearl. In the 1980s he led efforts that allowed machines to reason probabilistically. Now he’s one of the field’s sharpest critics. via Pocket
pocket  ai  deep.learning  future  insights  machine.learning  technology 
may 2018 by jburkunk
302 Found
Learning machine learning and deep learning is difficult for newbies. As well as deep learning libraries are difficult to understand. I am creating a repository on Github(cheatsheets-ai) with cheat sheets which I collected from different sources. via Pocket
pocket  ai  cheat.sheets  deep.learning  deep.learning.  engineering  machine.learning  technology 
may 2018 by jburkunk

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