Review for 26 April 2017

Below are some of the interesting links I Tweeted about recently.

1. Couples don't need ML to tell them when they are about to fight they need help to reduce stresses that cause fights: http://spectrum.ieee.org/the-human-os/robotics/artificial-intelligence/algorithm-aims-to-predict-bickering-among-couples
2. Facebook open sources it's preferred deep learning framework, Caffe2: https://techcrunch.com/2017/04/18/facebook-open-sources-caffe2-its-flexible-deep-learning-framework-of-choice/ 
3. Five important machine learning projects: http://www.kdnuggets.com/2017/04/five-machine-learning-projects-cant-overlook-april.html 
4. Cheap learning, not deep learning-simple algorithms are still useful for many problems: https://www.datanami.com/2017/04/17/cheap-learning-future/ 
5. Neural networks predict heart attacks better than doctors: http://www.digitaltrends.com/health-fitness/ai-algorithm-heart-attack/ 
6. "Automation is a great excuse for assholery", or, why biased data produces biased models: https://www.theguardian.com/commentisfree/2017/apr/20/robots-racist-sexist-people-machines-ai-language 
7. MS has merged Python into SQL Server 2017 to give users access to machine learning frameworks on the server: https://techcrunch.com/2017/04/19/microsoft-wants-to-bring-data-and-machine-intelligence-closer-together/ 
8. Why using AI in the court system is a bad idea: https://www.wired.com/2017/04/courts-using-ai-sentence-criminals-must-stop-now/
9. Thoughts by neuroscientists on Elon Musk's Neural Lace: http://spectrum.ieee.org/the-human-os/biomedical/devices/5-neuroscience-experts-weigh-in-on-elon-musks-mysterious-neural-lace-company
10. 95% of engineers graduating Indian institutions are unfit for software development jobs: http://www.gadgetsnow.com/jobs/95-engineers-in-india-unfit-for-software-development-jobs-claims-report/articleshow/58278224.cms
11. Soft Computing, Volume 21, Number 9, May 2017 https://computational-intelligence.blogspot.com/2017/04/soft-computing-volume-21-number-9-may.html 
12. How Facebook plans to make more money using machine learning: https://techcrunch.com/2017/04/21/machine-intelligence-is-the-future-of-monetization-for-facebook/ 
13. AI investment is up-we are definitely in an AI hype-cycle: https://www.datanami.com/2017/04/19/ai-investments-surge/ 
14. Introduction to transfer learning: http://sebastianruder.com/transfer-learning/index.html 
15. Machine learning moves into recruitment: https://www.datanami.com/2017/04/14/ai-moves-deeper-hr/  Like there's no bias in *those* models..