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 always, this summary will necessarily be ...
Recent Posts
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 was surprised with my thoughts and aske...
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/Healthcare space: Curai. A few weeks back, ...
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 that mean that Deep Learning will be the ...
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 Internet in a way that will end up hurting cons...
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 owner in charge of making the final decision.
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. It is true. I now realize I should have ...
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 Wikipedia that Yuvraj Singla points to. I ...
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.
10 More lessons learned from building real-life Machine Learning systems — Part I
Over a year ago, following an original presentation at MLConf, I wrote a blog post entitled “10 Lessons Learned from building ML systems”. At that point, I was leading the Algorithms Engineering te...