Weekly Review 8 May 2017

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

1. AI is one of 5 ways a business can lead in the age of analytics: http://www.informationweek.com/big-data/big-data-analytics/5-keys-to-leading-in-the-age-of-analytics/a/d-id/1328693
2. Comparison of open-source frameworks for deep learning and visual analysis: http://www.datasciencecentral.com/profiles/blogs/open-source-deep-learning-frameworks-and-visual-analytics 
3. How to choose which machine learning algorithm to use: http://blogs.sas.com/content/subconsciousmusings/2017/04/12/machine-learning-algorithm-use/ 
4. Sounds like a really good way to automate police prejudice: https://techcrunch.com/2017/04/30/taser-law-enforcement-technology-report/ 
5. 5 free ebooks on machine learning: http://www.kdnuggets.com/2016/10/5-free-ebooks-machine-learning-career.html 
6. Using ANN to produce smooth animations of human characters: https://techcrunch.com/2017/05/01/this-neural-network-could-make-animations-in-games-a-little-less-awkward/ 
7. 5 best machine learning API: http://www.kdnuggets.com/2015/11/machine-learning-apis-data-science.html 
8. A tool for the governance of machine learning projects and models: http://www.theregister.co.uk/2017/04/25/immuta_data_governance_tool/ Interpretability is key.
9. Detecting strokes from brain scans using machine learning: https://techcrunch.com/2017/05/01/tackling-diagnostic-medicine-with-ai-viz-launches-a-tool-to-identify-strokes/ 
10. Yes, Amazon Look will be used as a front-end to a fashion AI, especially if Amazon can then sell you more stuff: https://www.theverge.com/2017/5/3/15522792/amazon-echo-look-alexa-style-assistant-ai-fashion 
11. AI is moving into the public sector, bringing worries to workers about job security: https://www.datanami.com/2017/05/03/job-worries-grow-ai-shifts-public-sector/ 
12. This is why proof-reading is important -"pubic sector adoption of automation" https://www.datanami.com/2017/05/03/job-worries-grow-ai-shifts-public-sector/ 
13. Finally got around to updating my online list of publications, and added some more paper uploads: http://mike.watts.net.nz/CV/mjwatts.html
14. I have updated the list of references on applications of Evolving Connectionist Systems on my ECoS site: http://ecos.watts.net.nz/Literature/Applications.html 
15. Swarm AI will again try to predict the outcome of the Kentucky Derby: http://www.techrepublic.com/article/how-an-ai-super-expert-will-predict-the-winner-of-the-kentucky-derby/ 
16. An open source database of street-level images: https://techcrunch.com/2017/05/03/mapillary-open-sources-25k-street-level-images-to-train-automotive-ai-systems/ 
17. Where AI is going: http://www.datasciencecentral.com/profiles/blogs/development-of-ai-and-its-future-state 
18. A camera-equipped prosthetic hand uses ANN to help it grasp things: https://motherboard.vice.com/en_us/article/this-bionic-hand-uses-ai-to-grab-things-automatically 
19. Using sckit-learn in Python to detect SPAM emails: https://appliedmachinelearning.wordpress.com/2017/01/23/email-spam-filter-python-scikit-learn/ 
20. The swarm missed predicting the Kentucky derby this year: http://www.techrepublic.com/article/ai-misses-repeat-in-2017-kentucky-derby-but-heres-what-we-learned/ Still not sure how this is AI rather than Bayesian search
21. Been feeling good lately, like I'm on top of things - why does this give me such a feeling of dread? https://www.theguardian.com/lifeandstyle/ng-interactive/2017/may/06/stephen-collins-on-good-times-cartoon?CMP=share_btn_tw 
22. An overview of TensorFlow: http://www.techrepublic.com/article/tensorflow-googles-open-source-software-library-for-machine-learning-the-smart-persons-guide/