* Program design in the UNIX
environment (1984): <a href="http:&#x2F;&#x2F;harmful.cat-v.org&#x2F;cat-v&#x2F;unix_prog_design.pdf" rel="nofollow">http:&#x2F;&#x2F;harmful.cat-v.org&#x2F;cat-v&#x2F;unix_prog_design.pdf</a><p>Glipse into unix essentials. Do one thing well on an example so you&#x27;ll never forget it again. Doing less requires more care and attention to detail.<p>* From Frequency to Meaning (2010): <a href="https:&#x2F;&#x2F;www.jair.org&#x2F;media&#x2F;2934&#x2F;live-2934-4846-jair.pdf" rel="nofollow">https:&#x2F;&#x2F;www.jair.org&#x2F;media&#x2F;2934&#x2F;live-2934-4846-jair.pdf</a><p>A nice summary on vector space models along with three basic matrix layouts: term-document, word-context, pair-pattern and the resulting applications and algorithms.<p>* A Roadmap towards Machine Intelligence (2015): <a href="http:&#x2F;&#x2F;arxiv.org&#x2F;pdf&#x2F;1511.08130v1.pdf" rel="nofollow">http:&#x2F;&#x2F;arxiv.org&#x2F;pdf&#x2F;1511.08130v1.pdf</a><p>Emphasis on communication. I liked the fact, that the AI is pictured as a research assistant, since I would love to see a more dialog oriented interaction with machines.<p>* 50 years of Data Science (2015): <a href="https:&#x2F;&#x2F;dl.dropboxusercontent.com&#x2F;u&#x2F;23421017&#x2F;50YearsDataScience.pdf" rel="nofollow">https:&#x2F;&#x2F;dl.dropboxusercontent.com&#x2F;u&#x2F;23421017&#x2F;50YearsDataScie...</a><p>Great essay on how the past had a handle on todays data analysis landscape, just without the enormous computing power and data availability, that we have today.