Topics for talks

[betatim]

Is there a topic you always wanted to hear about? Post here.

Is there a speaker you always wanted to hear talk? Post here.

Find other suggestions for talks or speakers

[jntme]

I'd really like to hear about:

• Beginner recommandations; Where do I have to start to dive into machine learning, data science? What is important to know? How do you keep yourself motivated?
• Hows the job market (maybe especially for zurich) for data science? (maybe @iwangulenko could tell us something about this?)

[jaimefrio]

After the first meetup I was talking to Severin Bühler, who I think is @Sebubu on github, and he mentioned a project he had been working on for a mushroom identification website, which I believe is this one.

I think it would be very cool if we invited him to explain us what goes on behind the scenes for one of the next meetups!

[SeverinAlexB]

Thank you for mentioning @jaimefrio
I could do a talk either about Mushreco or OSMDeepOD.
Both are done with Keras and are based on a cnn.

[betatim]

For purely selfish reasons I would vote OSMDeepOD 😄 Do you have time in early December aka speak at #7 ?

[SeverinAlexB]

Haha :)
Basically yes. I can definitely confirm if I know a exact date.

[betatim]

More talk ideas/keywords from notes I took at the first meetup:

• How to github
• Licenses (for code and/or data) (I think)
• Lightning talks 🌩
• multiprocessing with python
• static typing/type hints
• Cython/python and c++ 🏎
• Generators
• dask
• intro to scikit-learn
• intro to pandas
• intro to keras
• the jupyter universe
• virtualenvs and conda and wheels / isolated environments for each of your projects

If any of this sounds appealing or you know something about it, let us know. You don't have to be a guru on the topic as most people listening will know nothing, so you will have something interesting to say.

[betatim]

@sajain might talk about word2vec or anomaly detection in a future meetup

[markusbaden]

Hi all, saw the call for talks via meet up mail a while back. Currently, I'm working on a project making use pandas, jupyter, dask in the context of risk management in a pension fund. Colleagues of the pension fund and me thought it might make for a good mini case study. Maybe 30 min talk along the lines of "Modern pension fund analytics using pandas, jupyter and dask". We would need some time to prepare though :) so earliest would be end of September 2017.

Thoughts?

[jakeret]

Sounds awesome! I opened a new issue (#27) to track the scheduling of the next meetup