Monthly Archives: April 2017

Weekly Reading Roundup – 04/14/17

The Walt Mossberg Brand – Stratechery: https://stratechery.com/2017/the-walt-mossberg-brand/

Changing Everything: Basic Income is Not Enough – Continutions: http://continuations.com/post/159411070000/changing-everything-basic-income-is-not-enough

Real-time Deduping At Scale – Tapjoy Engineering: http://eng.tapjoy.com/blog-list/real-time-deduping-at-scale

What Makes a Great Data Scientist – Kaggle: http://www.kdnuggets.com/2017/03/what-makes-great-data-scientist.html

What We’re Missing in Product Analytics – Hacker Noon: https://hackernoon.com/what-were-missing-in-product-analytics-928984c2e36a

After Years of Challenges, Foursquare Has Found It’s Purpose And Profits – Entrepreneur: https://www.entrepreneur.com/article/290543

How You Battle the ‘Data Wheel of Death’ in Growth – Coelevate: https://www.coelevate.com/essays/growth-data-mistakes

This is the Jeff Bezos playbook for preventing Amazon’s demise – ReCode: https://www.recode.net/2017/4/12/15274220/jeff-bezos-amazon-shareholders-letter-day-2-disagree-and-commit

Who’s making Trader Joe’s food? An investigation of the secretive grocery chain – SF Gate: http://www.sfgate.com/news/article/Who-s-making-Trader-Joes-food-brand-relationships-6680520.php

A Peek at Trends in Machine Learning – Medium: https://medium.com/@karpathy/a-peek-at-trends-in-machine-learning-ab8a1085a106

Building ML Models is Hard. Deploying Them in Real Business Environments is Even Harder – Ocado Technology: http://www.ocadotechnology.com/our-blog/articles/building-machine-learning-models-is-hard

Gaming Google for Profit and Ideology – Bloomberg: https://www.bloomberg.com/view/articles/2015-08-19/gaming-google-for-profit-and-ideology

How AI Is Changing the Way Companies are Organized – Fast Company; https://www.fastcompany.com/3068492/how-ai-is-changing-the-way-companies-are-organized

What Happens When You Hire a Data Scientist Without a Data Engineer – Jesse Anderson: http://www.jesse-anderson.com/2017/03/what-happens-when-you-hire-a-data-scientist-without-a-data-engineer/

The Stats of the Furious – Bloomberg: https://www.bloomberg.com/graphics/2017-fast-and-furious/

Weekly Reading Roundup – 04/07/17

These Scientists Sent a Rocket to Mars for Less Than It Cost to Make “The Martian” – The Backchannel: https://backchannel.com/isro-scientists-5ad220d6f38c#.7kehow5az

Basing Life on What You Can Afford – NYTimes: https://www.nytimes.com/2017/03/19/your-money/budget-what-you-can-afford.html

What is AI? Ingredients for Intelligence – KDNuggets: http://www.kdnuggets.com/2017/04/grakn-artificial-intelligence-ingredients-intelligence.html

Life Rules – Ritzholtz: http://ritholtz.com/2017/04/life-rules-2/

Johnson & Johnson Has a Baby Powder Problem – Bloomberg: https://www.bloomberg.com/features/2016-baby-powder-cancer-lawsuits/

Two Buck Chuck How Trader Joe’s Wine Became Cheapter Than Water – Thrillst: https://www.thrillist.com/drink/nation/trader-joes-wine-two-buck-chuck-history

Living a Lie: We Decieve Ourselves to Better Decieve Others – Scientific American: https://www.scientificamerican.com/article/living-a-lie-we-deceive-ourselves-to-better-deceive-others/

Electric Cars like the Chevy Bolt Have a Huge Infrastructure Problem – Slate: http://www.slate.com/articles/business/the_juice/2017/04/electric_cars_like_the_chevy_bolt_have_a_huge_infrastructure_problem.html

Firing on All Cylinders: The 2017 Big Data Landscape – Matt Turck: http://mattturck.com/bigdata2017