Saturday, January 30, 2016

Weekly Review 29 January 2016

Some interesting links that I Tweeted about in the last week:

  1. 7 trends in AI for 2016: http://www.techrepublic.com/article/7-trends-for-artificial-intelligence-in-2016-like-2015-on-steroids/
  2. Learn deep learning from Google using TensorFlow http://googleresearch.blogspot.co.nz/2016/01/teach-yourself-deep-learning-with.html 
  3. Learning to code neural networks http://www.kdnuggets.com/2016/01/learning-to-code-neural-networks.html 
  4. The parts for building an AI assistant are available online, mostly for free, according to this article: http://www.techrepublic.com/article/ai-helpers-arent-just-for-facebooks-zuckerberg-heres-how-to-build-your-own/
  5. Microsoft open sources it's deep learning toolkit: http://blogs.microsoft.com/next/2016/01/25/microsoft-releases-cntk-its-open-source-deep-learning-toolkit-on-github/
  6. Damn, Marvin Minsky died: http://www.nytimes.com/2016/01/26/business/marvin-minsky-pioneer-in-artificial-intelligence-dies-at-88.html?_r=0
  7. Deep Feelings on Deep Learning: http://www.kdnuggets.com/2016/01/deep-feelings-deep-learning.html … it all seems a bit like magic
  8. 7 mistakes in data science, apply to computational intelligence and data mining too: http://www.kdnuggets.com/2016/01/7-common-data-science-mistakes.html
  9. Video courses in deep learning and machine learning: http://www.datasciencecentral.com/profiles/blogs/step-by-step-video-courses-for-deep-learning-and-machine-learning
  10. Implementing k nearest neighbours in Python: http://www.kdnuggets.com/2016/01/implementing-your-own-knn-using-python.html
  11. Random thoughts on machine learning and AI: http://www.datasciencecentral.com/profiles/blogs/big-data-analytics-data-science-machine-learning-random-insights
  12. Overview of recurrent neural networks: http://spectrum.ieee.org/computing/software/the-neural-network-that-remembers
  13. "Impostor Syndrome" among academics: http://www.nature.com/naturejobs/science/articles/10.1038/nj7587-555a?WT.mc_id=TWT_NatureNews 
  14. Deep learning with Spark and TensorFlow: http://www.kdnuggets.com/2016/01/deep-learning-spark-tensorflow.html
  15. 12 things not to do when applying for academic jobs https://www.insidehighered.com/advice/2016/01/29/common-mistakes-academic-job-seekers-make-essay … I'd add don't go in to an interview with a bad attitude
  16. Doesn't matter how good you are, if you have a bad or arrogant attitude in the interview, you won't get the job https://www.insidehighered.com/advice/2016/01/29/common-mistakes-academic-job-seekers-make-essay
  17. Deep learning neural network with human-level performance playing Go http://spectrum.ieee.org/tech-talk/computing/software/monster-machine-defeats-prominent-pro-player?utm_campaign=Weekly%20Notification-%20IEEE%20Spectrum%20Tech%20Alert&utm_source=boomtrain&utm_medium=email&utm_term=555a972628fbca1d260da1ba&utm_content=Monster%20Machine%20Cracks%20The%20Game%20Of%20Go&bt_alias=eyJ1c2VySWQiOiIzMGJmOTkxMy1mOThiLTQ5YTgtOTIzMy1iYmMzODk4ZDcxODcifQ%3D%3D