Weekend Reading List

Weekend List for Sep 23, 2018

Bullshit jobs – one of my favorite topics. And a reminder that we all must never find ourselves in a soul destroying job

https://www.theguardian.com/books/2018/may/25/bullshit-jobs-a-theory-by-david-graeber-review

https://strikemag.org/bullshit-jobs/

“Getting positive or negative reactions to something you do or say is a greater influence on your thinking than logic and reasoning, the new research suggests – so if you’re in a group of like-minded people, that’s going to reinforce your thinking.” So very true … and underscores the importance of learning (which has feedback as a key part) over knowing

https://www.sciencealert.com/feedback-study-explains-why-false-beliefs-stick

The gap between a Data Scientist and the Software Engineer continues to close. Is ML Engineer the new thing?

https://blog.insightdatascience.com/preparing-for-the-transition-to-applied-ai-d41e48403447

A good example of combining NLP and ML at scale

http://eng.uber.com/cota/?utm_campaign=Subirority%20Complex&utm_medium=email&utm_source=Revue%20newsletter

Useful design concepts for a world of multiple data stores – from transaction systems to analytical environments. Replication, propagation et al. become critical

https://medium.com/airbnb-engineering/capturing-data-evolution-in-a-service-oriented-architecture-72f7c643ee6f?mkt_tok=eyJpIjoiTlROa056Um1Zelk0T1dGbCIsInQiOiJPR2h4bklaSmp1Y052ejlhVmJsZzBxRWpzMFJtdjB2QVVaWmxDN0pMYjU2d0pCRmE0UVE5bEYzcGJHXC9QaFZrdFhcL1doUk56QWgyOWgwRjNIZUxGcVNmRTBwdjllZEJ3YnIzNG8zWGJuUk82K2lKakJSa1VmRlRIbEl4bm1qc1wvUCJ9

 

Weekend List for Sep 9,2018

Machine Learning does need human guidance – from labeling training datasets to the judgment element for Reinforcement Learning systems. There is obvious interest in creating autonomous learning systems. Watch out for more …

https://www.economist.com/science-and-technology/2018/08/30/a-sense-of-curiosity-is-helpful-for-artificial-intelligence

The idea of treating data as an asset has finally taken root. The time has to come to relevant data into a ‘first-class’ organization object

https://theodi.org/topic/data-infrastructure/

Scale doesn’t happen overnight – but while you are waiting for scale, what do you do? From the founder of Airbnb

https://medium.com/@reidhoffman/how-to-scale-a-magical-experience-4-lessons-from-airbnbs-brian-chesky-eca0a182f3e3

How businesses that scale will succeed

https://hbr.org/2018/09/alibaba-and-the-future-of-business

Interesting article

https://quillette.com/2018/09/07/academic-activists-send-a-published-paper-down-the-memory-hole/

Weekend List for Aug 31, 2018

‘Demo or Die’ – sums it all up

https://hbr.org/2015/09/design-thinking-comes-of-age?utm_medium=email&utm_source=tgr_newregistrants&utm_campaign=engagment5_suboffer_version20170802_t1&utm_content=touch1&deliveryName=DM12814

Food for thought – esp. for those of us who are drinking the koolaid in the Valley

https://www.economist.com/leaders/2018/08/30/why-startups-are-leaving-silicon-valley

Black box or not? Relevant debate

https://hbr.org/2018/07/we-need-transparency-in-algorithms-but-too-much-can-backfire

In the world of ‘fake news’ …

https://www.theguardian.com/technology/2018/jul/25/ai-artificial-intelligence-social-media-bots-wrong?utm_campaign=4c3d1d3a3e-Benedict%27s%20Newsletter_COPY_01&utm_medium=email&utm_source=Benedict%27s%20newsletter&utm_term=0_4999ca107f-4c3d1d3a3e-70731521

Will this help the pesky problem of black swan events in Forecasting …

https://eng.uber.com/neural-networks-uncertainty-estimation/?utm_campaign=Revue%20newsletter&utm_medium=Newsletter&utm_source=Subirority%20Complex

Weekend List for Aug 25/26, 2018

Nice article on Questions – we always knew that questions are important. Some interesting research to formalize this
https://hbr.org/2018/05/the-surprising-power-of-questions

AI is the new hype – and the odds of delivering successful outcomes are still quite low. Good read on how to think about AI projects
https://hbr.org/2018/07/how-to-make-an-ai-project-more-likely-to-succeed

We live in a culture that disproportionately celebrates heroes. Even more so in domains where individual brilliance and effort creates value – Physics being one. Popular culture has reinforced this stereotype over and over again. This is a good piece on looking beyond the individuals at their mentors – and the attention their contribution deserves.
https://rdcu.be/48rc

Good thought starter on applications of reinforcement learning – outside of the gaming world, this has not found many applications. That should not be so: agent-environment interactions with feedback situations exist aplenty: Customer Care Interactions; Supply Chain Inventory positions; Web personalization are examples
https://towardsdatascience.com/applications-of-reinforcement-learning-in-real-world-1a94955bcd12

Pure, unadulterated fun. However, what is amazing is the rigor with which he breaks a big problem into components, with nothing more than thinking from first principles. Something to learn
https://what-if.xkcd.com/

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