how to fight your own biases when writing ML algorithms?
Culture is the Behavior You Reward and Punish
The Intelligent Enterprise, by Analogy
https://timoelliott.com/blog/2018/06/the-intelligent-enterprise-by-analogy.html
The Intelligent Enterprise is a virtuous cycle: data is used to create proactive business actions that improve the customer journey, leading to more customers, more data, and even better products and services.
Replacing Humans: Robots Among Us
great documentary about robots in Japan
https://www.cbsnews.com/news/robots-replacing-humans-cbsn-originals/
The end of the Data Scientist Bubble
Stumbled in this post from 2014, very relevant:
“Any data scientist worth their salary will say you should start with a question, NOT the data.”
“Someone who is unable to provide added value on data is NOT a data scientist”
https://www.datasciencecentral.com/profiles/blogs/the-data-scientist-buble-has-started-to-explode
Notes from the AI frontier: Applications and value of deep learning
3 Tips for Presenting in English When You’re Not a Native Speaker
Why Data Scientists Must Focus on Developing Product Sense
Business is the differential between a data scientist and a great data scientist.
https://www.kdnuggets.com/2018/04/data-scientists-product-sense.html
How to run your first meeting as a new manager
https://m.signalvnoise.com/how-to-run-your-first-meeting-as-a-new-manager-84aaef872c1b
Great advices (for new and for the experienced as well)