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Deep Dives Daily Alerts Learning AIIn the News
As Amazon pushes forward with robots, workers find new roles
Advances in AI are used to spot signs of sexuality
Deep Learning can be used to classify images in a wide range of different contexts. Researchers have shown that inferring sexuality from face images can "easily" be done at super-human accuracies. This raises troubling questions and challenges.
Former Waymo CTO on self-driving technology
Chris Urmson warns that we might get too complacent about the technology before it’s totally ready.
Also in the news...
- Putin: whoever is leader in AI will rule the world. More
- John Deere acquires Blue River Technology to add ML to farming equipment. There will be ML everywhere. More
- "IBM pitched Watson as a revolution in cancer care, it's nowhere close" link
Workplace
The Data Science Interview
Train for your next data science interview with 1000+ real interview questions
Learning
Detecting facial features using Deep Learning
Uber's Machine Learning Platform
Description of Uber's internal Michelangelo Machine Learning platform, along with the design decisions and architecture to make their ML scalable, repeatable and practical to use.
Natural and Artificial Intelligence in Neurosurgery
The systematic review has found that ML diagnoses ailments 13% better than their clinical counterparts
Youtube feed perfection
How Google improved Youtube recommendations with Deep Learning
Software tools & code
Scalable Machine Learning (Part 1)
What do you do when your training dataset is small enough to fit in memory but you need to predict on a much larger dataset?
Facebook and Microsoft introduce standard for interchangeable AI frameworks
The Open Neural Network Exchange (ONNX) format is a standard for representing deep learning models that enables models to be transferred between frameworks. Hopefully this will make it easier to switch between Tensorflow, Caffe and the likes.
Some thoughts
Giving the Dry-Erase whiteboard a High-Tech makeover
Your videoconferences are going to become far more productive.
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