Notes

03 Sep 2020

• Marc Notes
  https://mpuig.github.io/Notes/

DataViz, Neural Network, Data Science

02 Nov 2017

• 15 Stunning Data Visualizations (And What You Can Learn From Them)
  https://medium.com/towards-data-science/15-stunning-data-visualizations-and-what-you-can-learn-from-them-fc5b78f21fb8
• How to colorize black & white photos with just 100 lines of neural network code
  https://medium.freecodecamp.org/colorize-b-w-photos-with-a-100-line-neural-network-53d9b4449f8d
• A manifesto for Agile data science
  https://www.oreilly.com/ideas/a-manifesto-for-agile-data-science?imm_mid=0f7a0a&cmp=em-data-na-na-newsltr_20171101

AI in UK, Business, Entity Extraction

15 Oct 2017

• Growing the artificial intelligence industry in the UK
  https://www.gov.uk/government/publications/growing-the-artificial-intelligence-industry-in-the-uk
• What I Learned From Reading Every Amazon Shareholders Letter
  https://medium.com/@gsvpioneer/what-i-learned-from-reading-every-amazon-shareholders-letter-cdc35f309e8b
• Entity Extraction and Network Analysis
  http://brandonrose.org/ner2sna

ML frameworks, deep learning, future

08 Oct 2017

• Tensorflow sucks
  http://nicodjimenez.github.io/2017/10/08/tensorflow.html
• What is next for deep learning?
  https://www.quora.com/What-is-next-for-deep-learning/answer/Ian-Goodfellow#
• The future of deep learning
  https://blog.keras.io/the-future-of-deep-learning.html

Language identification, question answering, China

04 Oct 2017

• Fast and accurate language identification using fastText
  https://fasttext.cc/blog/2017/10/02/blog-post.html
• Question answering with TensorFlow
  https://www.oreilly.com/ideas/question-answering-with-tensorflow
• China’s Plan to ‘Lead’ in AI: Purpose, Prospects, and Problems
  https://www.newamerica.org/cybersecurity-initiative/blog/chinas-plan-lead-ai-purpose-prospects-and-problems/