data_scientist

Awesome! It looks like we could extract the depth from the video, but my knowledge of ffmpeg is too limited for that. Do you know a way to do it?

Really nice! I would love to add all my notes here, but I sometimes needs to include images, and this is a blocking feature for me. Any plan to include that?

A really nice to have would be to have inline Latex mathematical formula, but it may be too specific for your app.

I needs to connects to multiple servers at the same time, and tmux sessions shouldn't be stacked. How can I do that without tabs?

A short optional sample of every composers and songs would be nice, just to get an idea of the music. I can't remember music in my head (kind of Aphantasia for music), so it's really hard for me to choose just from the list.

What about using machine learning? It sounds like a discovery issue, and recommender systems work very well for that (eg. the side bar of Youtube).

I just discovered Neocities BTW, it sounds very interesting!

It doesn't have a good accuracy. I have yet to see a real-life dataset where it's better than to just call LogisticRegressionCV from scikit-learn. For bigger datasets, you may use vowpal wabbit or Fasttext. It may be a little bit slower for the training (but not so much), and as fast as LR for the training. What is the purpose of using an algorithm when another one is just better?

Does anyone have a good book for advanced linear algebra? I learned the basics in school - eg. Matrix diagonalization, svd) but I need for ml to really understand things like angle between flats, tensor decomposition, etc

SEEKING WORK / REMOTE or Paris France

I'm a data scientist with experience in various types of machine learning projects. I have a statistical background, and strong SWE skills.

I have experience in structured data, NLP, images, deep learning, recommendation systems, predictive maintenance, etc.

Why should you hire me? - I can understand your problem, torture your data and find the right model - or I will try something new, out of the box, if you need it - I know how to work with best practices for the code and how to integrate into a workflow - I love to deliver quality work

Drop me a mail! [email protected]

Nice statistical property: this is the same thing.

P(B|A)>P(B) <=> P(A|B)>P(A)

My main issue with R^2 is that it is an artificial indicator. It has no business meaning. The best alternative is to build a metric that is related to your business issue. How many $ do you loss if you're wrong by 1%? Or by 10 units? Do your business loss is linear in your error? Is it symmetrical?

These are the kind of questions you have to ask yourself. Defining a metric is hard, and there is no good shortcut.

Great idea! Some questions:

- Both R and Python support strings, factors, and complex objects in a dataframe. What is NOT supported by feather?

- Feather is "not for long term data storage". Will it be standardize in a distant future?

- Do you plan to integrate it into Pandas?

PyMC 3 implements HMC. It is still in beta but quite stable

How do you handle strings on hdf5, on an efficient and portable way? I didnt find any convincing answers.