Cultural over/under-fitting and transfer learning. Or why the “Netflix Culture” won’t work in your company.
Recent Posts
The year in AI/ML advances: 2018 roundup
It has become a sort of tradition for me to try to summarize ML advances at this time of the year (see here for my Quora answer last year, for example). As a...
The Memo Culture
Some days back I was having a conversation about the importance of memos and documents in an agile/fast-moving startup company. The person I was talking with...
Curai
I haven’t updated this channel in a while. I hope that by now you have already found out elsewhere that about a year ago I co-founded a company in the AI/Hea...
Football or Futbol? Or why Deep Learning will not make other Machine Learning approaches obsolete
You have probably heard a lot about Deep Learning and how it is taking over the world in general, and the area of Machine Learning in particular. But, does t...
Evil ads, ad blockers, and the end of Web diversity
Ad blockers might be good for the individual consumers that are using it, short term. However, longer term, if successful, ad blockers will shape the Interne...
How do you deal with strong difference of opinion among expert engineers in the team?
This is a great question. As a TLDR; the way to deal with strong differences between engineers is not necessarily to build consensus but to have a clear owne...
Where am I?
There have recently been some articles (e.g. This list of influencers) that have pointed to this blog and lamented that I don’t update it regularly anymore. ...
What’s the relationship between machine learning and data mining?
This is not an easy question because there is no common agreement on what “Data Mining” means. But, I am going to say that I disagree with the answer from Wi...
10 More lessons learned from building real-life Machine Learning systems — Part II
In my previous post, I introduced the ten new lessons and described the first five. Let’s directly dive into the final 5.