https://www.kdnuggets.com/2019/03/7-myths-data-anonymisation.html
Category Archives: Data Science
AI is a Big Fat Lie
Data Science vs Engineering: Tension Points
Nice insights, as more and more we notice the integration of data science algorithms with software systems is not easy at all.
https://blog.dominodatalab.com/data-science-vs-engineering-tension-points/
Looking into the future
Inspiring article on the use of artificial intelligence to prevent blindness caused by diabetes. To remind us how science can change the world, in academia or in industry.
https://www.google.com.br/about/stories/seeingpotential/
[In Portuguese]
What’s the difference between data science, machine learning, and artificial intelligence?
Make Data a Cornerstone of Your Team
Want to be a true strategic partner? The key is insights
https://adage.com/article/quantcast/tell-me-something/314827/
“Smart executives know we now need to leverage machine learning to inspire human learning.”
Bias detectives: the researchers striving to make algorithms fair
how to fight your own biases when writing ML algorithms?
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.
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