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Study partner matching thread

5 Post author: AspiringRationalist 25 January 2016 04:25AM

Nate Soares recommends pairing up when studying, so I figured it would be useful to facilitate that.

If you are looking for a study partner, please post a top-level comment saying:

 

  • What you want to study
  • Your level of relevant background knowledge
  • If you have sources in mind (MOOCs, textbooks, etc), what those are
  • Your time zone

 

Comments (15)

Comment author: RomeoStevens 26 January 2016 02:03:25AM 4 points [-]

I have been studying meta-research (a la METRICS, Cambridge Handbook of Expertise, Kuhnian revolution etc.) and while I'm not looking for a study partner per se (my schedule is very sporadic) I would be interested in diffing models about this topic with anyone who has done some of their own investigation in the area.

Comment author: Anders_H 27 January 2016 06:25:03PM 5 points [-]

I'm a postdoctoral scholar at METRICS and I'd be happy to talk to you about this. Get in touch by e-mail or private message. Also, I'm giving a talk about a new research idea at the METRICS internal lab meeting this coming Monday at 12:00 at Stanford. You are welcome to attend if you want to meet the METRICS group (but the professors are probably going to be busy and may not have time to talk with you)

Comment author: Gyrodiot 25 January 2016 12:39:12PM 3 points [-]

Hi,

I have two areas I'd like to study: deep learning, and anything on the MIRI research guide. Lots of material is available on both topics, but I'd like to pair up with someone to build a good learning strategy (for lack of a better expression).

I have some knowledge of algebra, probability theory, logic, game theory, machine learning (Master's Degree in Computer Science).

Regarding deep learning, I have a small collection of links, Udacity, and I'm positive learning materials abound now that the field is really popular.

Regarding MIRI's research guide, well, the guide itself provides a lot of links and pointers.

My timezone is CET (UTC+1).

Comment author: harshhpareek 08 February 2016 04:15:21PM 2 points [-]

Hi, I'm an AI PhD student and I just signed up for the Udacity Deep Learning course. Lets do this!

Comment author: SherkanerUnderhill 28 January 2016 03:21:11PM 1 point [-]

I'm going to apply for AI research related PhD this year. I want to start some research project in the near future with a goal of learning and increasing the chances of successful PhD admission. It's very likely that the domain of this research project will lie close to ML or MIRI research agenda.

I have only a bachelor degree in Engineering (CS and Software Engineering). I work as a software engineer and spend evenings by preparing for GRE, thinking and learning about FAI. Probably will do something with my job to free more time. My timezone: UTC+6.

Comment author: Gyrodiot 28 January 2016 10:15:04PM 0 points [-]

I forgot to mention I was currently an AI PhD student. Which doesn't entail much free time ^^

So... what exactly are you interested in learning (if you want to pair up)? I'm also interested in your project, if you have an idea in mind.

Comment author: leplen 25 January 2016 03:52:30PM 1 point [-]

I'm working through the udacity deep learning course right now, and I'm always trying to learn more things on the MIRI research guide. I'm in a fairly different timezone, but my schedule is pretty flexible. Maybe we can work something out?

Comment author: AspiringRationalist 28 January 2016 02:14:07AM 2 points [-]

I just finished Stanford's machine learning class on Coursera and I was thinking about starting Google's Udacity course.

I don't have much formal background in CS (2 classes in college and later a couple Coursera classes), but I've been working as a software engineer for a few years now.

I am in U.S. Eastern Time (UTC-4).

Comment author: RyanCarey 26 January 2016 06:19:16AM 1 point [-]

Machine Learning for Good is A machine learning and deep learning study group for EAs and rationalists that I'm facilitating.

It includes a study group for the current Udacity Tensorflow/Deep Learning course. I'm not going to repost further info here, one can access it through the following group:

https://m.facebook.com/profile.php?id=1582428355359588&tsid=0.6936991019174457&source=typeahead

Comment author: AspiringRationalist 28 January 2016 02:08:55AM 0 points [-]

The Facebook group is closed. Should people here assume that they will be allowed to join?

Comment author: RyanCarey 28 January 2016 04:43:27AM 0 points [-]

Everyone is allowed to join. It's closed so that technical or controversial discussions are not broadcast to friends of all members who have not chosen to join.

Comment author: [deleted] 26 January 2016 10:40:11AM 0 points [-]

What impact has ml4g had thus far?

Comment author: RyanCarey 26 January 2016 11:43:18PM 0 points [-]

Four meetings in, people have met, shared updates on study projects, shared updates on Kaggle competitions, talked about making study groups and Kaggle teams. People are more informed about and seem more interested in AI (safety) progress. I'm not that emotionally committed to its continuation but it seems like enough high-potential people with a shared interest are meeting that good things will eventually emerge on an AI safety front.

Comment author: [deleted] 27 January 2016 04:02:03AM *  0 points [-]

Is the end-game to do data-analysis on data for charity evaluation, intervention evaluation, cost-effectiveness and that kind of thing?

Or, to inform people interested in machine learning about AI safety?

Comment author: RyanCarey 27 January 2016 05:00:15AM 0 points [-]

It's deliberately not just for AI safety, but half of the people are interested in AI safety currently.

As well as promoting interest in these two areas among people with AI knowledge, the aim is to promote knowledge in people who care.