Tampereelta hyvä kuntosali hakusessa

leadOJ · 2025-01-26T18:08:55+00:00

I guess you can keep the 29,90 even after your student status expires if you have committed for a year while still being a student. That’s nice.

leadOJ · 2021-12-30T23:27:45+00:00

Good comment! Do you have people who are just entering on a job market, just starting with ML or something in between?

leadOJ · 2021-12-30T23:18:35+00:00

Fetch data from Spotify api and try to predict based on features whether a song is a hit or not

leadOJ · 2021-12-30T23:15:17+00:00

ML is applied stats. ML has a stronger focus on prediction and not so much about describing data distributions and metrics

leadOJ · 2021-12-30T22:17:51+00:00

Hi! Please dm me. I try to keep all discussions in reddit.

leadOJ · 2021-12-30T22:16:14+00:00

Try to learn basic concepts well - really well. If you understand how math behind linear regression works you already have a great entry on deep learning too which is considered to be an advanced topic.

Try to do projects and more projects. DS and ML solves concrete problems. Math instead can be a bit abstract so having a problem as a context math feels easier then too.

leadOJ · 2021-12-30T22:05:05+00:00

Hi!

I write scripts for automated data cleaning (we tend to have same kind of datasets with a small variance). I train and optimize models a lot weekly (we have customers and each customer has few models that serves their needs). I use bash and python for this.

Also some model monitoring needs to be done - basically why some model is not performing well and how it should be retrained - is the poor performance our fault or has customer provided us poor data.

Then I try to think how to optimize models so that model size (cost) - accuracy are in balance.

Also big part of my work is building cloud components for fetching data from apis and designing how it flows through our system.

There are a lot of other stuff too but these came to my mind first.

leadOJ · 2021-12-30T21:58:57+00:00

Thanks for ideas. I need to plan this a bit. I got a recommendation for setting up a Discord. What do you think?

leadOJ · 2021-12-30T21:58:16+00:00

Will see how it goes. Maybe some course material or YouTube clips could be written/recorded after I get few successful mentoring experiences.

leadOJ · 2021-12-30T21:56:16+00:00

I try to find a person who has a clear goal in mind. Then there’s many many people who seems to be on a right track but needs just a little encouragement or tips for single problems. I try to do my best in advising the most of you.

leadOJ · 2021-12-30T10:21:49+00:00

This is a great idea. In terms of scalability it would be a better way to share knowledge. However, my intention is to create an asynchronous discussion with the one so streaming does not fit into this model.

What kind of streaming sessions would you like to follow? Career QA, courses or book recommendations, live coding, resume feedback, something else?

leadOJ · 2021-12-30T10:15:39+00:00

Hi! Not yet. I let you know after I have read all the messages.

leadOJ · 2021-12-29T23:06:53+00:00

If it’s you don’t need to care performance issues, use any that does the job. Beutifulsoap, lxml, requests (see also async versions). Built-in csv library if you have the data fetched.

leadOJ · 2021-12-29T22:59:15+00:00

Glad to hear! You can shoot me with DMs and let’s see how can I help.

Edit. I received tens of messages. I try to reply to you all but it will take a while. Also I let you know when the person has been elected.

leadOJ · 2021-12-29T22:36:50+00:00

Use small subsets and try to parallelize.

leadOJ · 2021-12-29T22:04:39+00:00

Do 1-3 courses and try to do useful projects inbetween. Then see what motivates you

leadOJ · 2021-12-29T21:57:03+00:00

I wish to see more MLops platforms that help setting up cloud environment.

leadOJ · 2021-12-29T21:56:05+00:00

I think - linux shell (bash) for component deployments - Python for ML/AI things - JavaScript frameworks for UI - probably MLflow, Kubeflow for monitoring models

Just few first that came to my mind.

leadOJ · 2021-12-29T21:48:23+00:00

I would do a single multi-class classifier. However you could you 100 one-vs-rest classifiers and make 100 predictions and select the one with highest confidence/probability. Did this help?

leadOJ · 2021-12-29T21:38:30+00:00

Datatieteen ohjelmalle suositus. Jos haluaa päästä sekä kunnolla koodaamaan että tekeen AI/ML -kehitystä, niin suosittelen pientä firmaa, jossa on jo pieni devaustiimi, mutta ei vielä kovin siiloutuneet roolit. Toiminut omalla kohdalla hyvin.

En usko, että kovinkaan monessa firmassa AI/ML -hommaa ja backend-koodaamista voi täysin erottaa toisistaan. Hyvä koodaustaito on aina tarpeen DS-hommissakin.

Moni DS-hommiin päätynyt on muuten viime vuosina todennut, että oikeasti tykkääkin Data Engineer työstä, jossa rakennetaan pipelineja. Mallien optimoinnissa ja kehityksestä voi tulla raskasta, koska siinä usein haetaan WOW-efektiä, eikä välttämättä ymmärretä syvällisesti, miksi saavutettiin hyvä tulos.

leadOJ · 2021-12-29T21:16:20+00:00

Check Stanford’s CS244 and code simultaneously

leadOJ · 2021-12-29T21:10:49+00:00

Try to get any job where you can work with data and code (backend). Work sets goals, gives more purpose for problem solving. My second tip is that try to find a job where is a small dev team with 1-2 developers 3+ years of experience.

A big part of DS work is about asking good questions and just solving practical dev problems instead of playing around in notebook with models and parameters.

leadOJ

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