What are the best selfies?

Answer by Magesh Sivasankaran:

40 Weeks and a Mirror by Sophie Starzenski

The miracle of pregnancy is so wonderful that women willingly go through morning sickness, back aches, and a pain that men can not even fathom to bring a new life into the world.

Argentinian photographer Sophie Starzenski documented her beautiful progression in a simple set of ten photographs. With her Canon blocking her face, she captured a monthly shot of her body’s transformation in a mirror. The selfie snapshots show her growing bump, with a special surprise reveal at the end. She calls this series “Proyecto Pyokko” (Pyokko is a nickname for her  new bundle of joy).

And finally!

(Souce: Pictures of the week: 40 Weeks And A mirror, by Sophie Starzenski)

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What is an appropriate way to thank my professors who wrote recommendations for me?

Answer by Igor Markov:

Verbally.
In the immediate aftermath of letter-writing, physical or monetary gifts would be inappropriate. Of course, when you complete your degree, get a job of your dreams and become rich, you can donate $$ to the University or to the professors' research labs 🙂

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What is it like to be a machine learning software engineer at Facebook?

Answer by Tao Xu:

I joined Facebook in 2009 with an official title: Machine Learning Engineer. I liked that title a lot, mainly because:

  • I love machine learning
  • Its acronym (MLE) also stands for Maximum Likelihood Estimation.

I seriously hope that someday Machine Learning Engineer will be as popular/trendy as Data Scientist.

The job of Machine Learning Engineer is to apply machine learning to practical problems. Most of people with that background were concentrated within a few core ranking teams (for example, Ads, Feed and Search). In my case, I was in Ads Ranking for the first three years and Feed Ranking for my last year at Facebook.

Most of my daily works are around:

  • Developing new ML algorithms/models scalable to FB data, typically we changed the underlying ML algorithm in a major fashion every 1.5 years.
  • Writing increasingly faster runtime for the existing models, so it could score more candidates with lower latency. Those core ML runtime routine is running a few trillion times a day.
  • Developing new features
  • Developing new system infrastructure to store ever more data to extract features at runtime
  • Developing ML infrastructure to make model training easier, faster and more realtime.
  • Training model and started A/B test
  • Staring at A/B test results
  • Writing/running tons of hive and map reduce jobs
  • Slicing and dicing data.
  • On-call, debug data correctness, metrics drop etc.

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Why are the minions so adorable?

Answer by Visakan Veerasamy:

They are loyal and kind, but they have very little self-control. They're silly and just want to have fun. They love their boss, they love playing, and they get into trouble and screw things up.

They get caught up in petty oneupmanship and childish jokes, bu they also try their best to do the work that they're tasked to do. They want to be kissed goodnight by Gru.

They're adorable because they're "human", in the sense that they're imperfect. They're given far more personality than you'd expect from "minions", which are typically bland and neutral. (This was also why there was that scene in Iron Man 3 where the henchman said "Honestly, these guys are so weird." was so funny).

We get to see them struggle with self-control, struggle with trying to be good, responsible. They mess up but they try. They enjoy the little pleasures. We relate to them, so we love them.

BEE-DOO-BEE-DOO-BEE-DOO

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What are the wisest quotes you’ve ever heard or read?

"You might never fail on the scale I did, but some failure in life is inevitable. It is impossible to live without failing at something, unless you live so cautiously that you might as well not have lived at all – in which case, you fail by default."
– J.K Rowling

Answer by Karan Bansal:

"You might never fail on the scale I did, but some failure in life is inevitable. It is impossible to live without failing at something, unless you live so cautiously that you might as well not have lived at all – in which case, you fail by default."
– J.K Rowling

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