tminima

Or listen to podcasts/audio books. Helps when the commute involves traveling in crowded trains/busses during peak times.

You can cover a lot of ground while listening to podcasts. And diversity in podcasts is huge.

I feel that this is a data collection activity (and thus, more advanced future models and usecases) disguised as a social media. People will provide feedback in the form of clicks/views on AI generated content (better version of RLHF) on unverified/subjective domains.

Biggest problem OpenAI has is not having an immense data backbone like Meta/Google/MSFT has. I think this is step in that direction -- create a data moat which in turn will help them make better models.

Some locations in India are experimenting with https://ondc.org/ which is similar to this kind of model.

Hey, cool idea. Would you be able to tell me the tech stack for the whole app? I want to build a similar application for some other use case. I have built a static map with all my labels using leaflet in Python. To turn it into something like you have, what technologies will I need?

I want to learn more about how to rebalance my portfolio. I started with ETFs and MFs and then bought some good stocks when they were low. But I have never rebalanced it. Would you be able to share some resources about it? Also, if possible, some pointers about your script.

I noticed that the two bars were breaking differently under the hydraulic press. One was crumbling and the other (manufactured) was exploding. There was no mention of this effect in the video. It couldn't be the due to force because in the 2nd half the manufactured bar broke at a lower force. Could this factor has consequences on how manufactured sand concrete behaves with natural phenomenon (hurricanes, earthquakes, fires, etc.)

I could never put it words like in the article, but I always thought this was true (not just to books, but to all the inputs). Many times in my life, I have remembered obscure stuff from a random movie or specific parts of a conversation that I had many years back. Similarly with books, I can't recall it completely, but the sense of it is something that easily pops up.

Now I have started taking advantage of this using Anki. Whenever I read something having a particularly interesting or thought-provoking idea, I find a way to create flashcard(s) out of it. Now I am able to recall these things more often and many times they have guided me in my life or helping out friends.

Location: India

Remote: Yes

Willing to relocate: Yes (UK, EU, US)

Technologies: Python, SQL, PySpark, Git, Linux, MS Excel, PyTorch

Résumé/CV: https://www.linkedin.com/in/tminima

Email: shivam_r@outlook.com

Blog: http://shivamrana.me

Domain: Recommendation Systems, NLP (Translation, Language Modeling), Classification Algorithms, Regression Algorithms, Deep Learning (Seq2Seq, Transformer, RNN, LSTM, GRU, CNN), Data Scraping, Visualization (matplotlib, ggplot2).

I am Senior Data Scientist with ~8 years of experience in Data Science. For the last three years, I have been working on Recommendation Engines for a B2C company. I have deployed 30+ models in production, receiving more than 400k QPS traffic. I have seen e2e journey of multiple data science projects: business problem -> formulation -> offline training/eval -> deployment -> A/B testing -> Scaling up -> Monitoring. In my new role, I am looking to apply my experience to design e2e ML systems.

Great work. Nice blend of aesthetics and simplicity of building the timeline.

Along with embed link, I was wondering if there is a way to download the HTML of the rendered timeline directly. I use static pages for my blog and would love a way to add the rendered output directly.

https://shivamrana.me/ RSS: https://shivamrana.me/feed.xml

I write about random experiments I do in my life (data science, personal analytics, reviews, travel, etc). Been travelling a lot this year, but haven't been able to write about it much. Hoping to change that in the next few weeks.

https://shivamrana.me/

Haven't been able to spend time on this. I want to improve the following 2 things first:

- Travel page: have those hover on the map and see where all I have travelled.

- Landing page: I want to change the landing page to a portfolio page where I have a stackoverflow type developer timeline thing.

Sadly, I don't have much experience in web technologies, so not sure how to even start with these things.

Hi All,

I recently created an open source website[1] having a collection of podcasts about Machine Learning, Data Science, and ML Engineering. The podcast details are updated daily using GitHub actions. The source is available at the GitHub Repo[2]. Adding a new podcast is easy: just add a simple text file with YAML front matter. I want the website to become a go-to place where people find the next Data Science podcast they want to listen to. I have plans to make podcast pages more informative. My objectives of sharing the website are three-fold:

1. Share this resource with people here who might be interested in podcasts.

2. Feedback and suggestions about what more information can be added to make the discovery and selection process for users easier.

3. If people have any additions to the current list, I am happy to add them.

Hope this helps the community. People on r/machinelearning[3] liked it.

---

[1] http://dspods.netlify.app/

[2] https://github.com/TrigonaMinima/dspods

[3] https://www.reddit.com/r/MachineLearning/comments/liz35x/d_p...

Hi All, I recently created an open source website[1] having a collection of podcasts about Machine Learning, Data Science, and ML Engineering. The podcast details are updated daily using GitHub actions. The source is available at the GitHub Repo[2]. Adding a new podcast is easy: just add a simple text file with YAML front matter. I want the website to become a go-to place where people find the next Data Science podcast they want to listen to. I have plans to make podcast pages more informative. My objectives of sharing the website are three-fold:

1. Share this resource with people here who might be interested in podcasts. 2. Feedback and suggestions about what more information can be added to make the discovery and selection process for users easier. 3. If people have any additions to the current list, I am happy to add them.

Hope this helps the community. People on Reddit r/machinelearning[3] liked it.

---

[1] http://dspods.netlify.app/ [2]: https://github.com/TrigonaMinima/dspods [3]: https://www.reddit.com/r/MachineLearning/comments/liz35x/d_p...

This sounds very similar to what Design Thinking suggests. Connect with your (potential) customers to get their habits and preferences so you've more ideas and then prototype them through mockups or small models and once you've the feedback from the customers, decide to either go ahead with the version 2, pivot it, or shelf it.

Design thinking talks about being empathetic to your users/customers. Which also sounds like the essence of this post.

Thanks for writing it.

Wouldn't LaTeX work in this situation?

The site looks good. Kudos. I was looking for an (android) app that does this. All the apps that I tried were so bad or filled with unnecessary things that I gave up on tracking the time for now.

Check out MusicBRainz. have done a pretty good job of the tools around music tagging. Following is the link of the similar tool you are woking on from these guys: https://picard.musicbrainz.org/

Thanks. You can find the notebook here: https://github.com/TrigonaMinima/Notebooks with the name (Gradient Descent - Maximum Area.ipynb). Because of the embedded plots and gifs it's big in size so it's takes time to render on GH

Reddit. Namely the following subs. I occasionally go their all time top section and just listen to them.

- r/Music - r/trueMusic - r/listentothis - r/listentous - r/hip_hop - r/FitTunes - r/electronicmusic - 90smusic

Obviously, the above list is not exhaustive.

This post is amazingly written. I have been thinking about things related to this topic and how to implement them in my life. It's been only a few months since I actually started thinking about this. I realised that I am an average person but slight burst of decent things in time. And to become great I have to work towards it.

I have learnt that building habits is a big part of this. You need to build good habits to actually reap the benefits of the compounding. My thinking of habits came from Anki. While reading up on Anki, I noted the benefits of compounding and consistent effort.

What I am still trying to achieve is the iterating process. To figure out the right inputs to get the desired output. Once I saw there are a lot things that I need to do parallelly, I created a schedule to work on them everyday, but that was very difficult to follow. Something or the other was left out. So i had to drop a few things from the routine. I am still trying to find a good way to experiment and find the right path. This blog post gave words to what I am trying to achieve, and how I can approach it.

Thank you for writing and sharing it.

I like the name. Koonchi means painting brush which were used in India in the olden days.

For context, I use a basic card and add the context with the word itself. Eg.

front- define: comonotonic (probability theory, comonotonicity)

back- perfect positive dependence between the components of a random vector

Reminds me about the Quora's "India Problem" in 2013. I am an Indian and I stopped going on Quora within a month of joining the service. Now, from the looks of it, it has actually worsened.

Later they did mention that they don't take into account the language or editor selection to make interview decisions.

They are just exploring the data they have acquired. May be they could have phrased that section differently.

Yeah and even in browser one can quite easily open the website using facebook.com. No need to search on google for it really.

This is the only video where she mentions working on the problem - https://www.youtube.com/watch?v=n7rzFqP3daI

Damn this is good. I had faced a similar issue where the CSV had mixed encodings. That time I never looked for a library, I read a few SO answers and created an adhoc python script to make the file encoding uniform. Ftfy would have made my work simpler.

May be the great achievements the author talks about will feel different. Taking the example of Einstein, till his death he must be seeing the impact of his theory. I think that wont be as inconsequential as it seems.

I haven't started on the course yet, but I have exp. with Anaconda. On every fresh linux install, I install Anaconda first. It won't do anything to your system. It'll ask for a path, install all the necessary files there and then add that directory at the start of path so that when you type python on terminal the anaconda python will start. You can still access the previously installed python version by typing python2.7 or python3.5.