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Dawny33

676 karma · joined June 20, 2014

mesa name Daani :)
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Dawny33··on Docker vs. Kubernetes vs. Mesos
*Marathon on Mesos. :P
Dawny33··on Ask HN: How was your experience with AWS Lambda in production?
- We use Lambda along with Ansible to execute huge, distributed ML workloads which are (completely)serverless. Saves a lot of bucks, as ML needs huge boxes.

- For serverless APIs for querying the S3 which is a result of the above workload

Difficulties faced with Lambda(till now):

1. No way to do CD for Lambda functions. [Not yet using SAM]

2. Lambda launches in its own VPC. Is there a way to make AWS launch my lambda in my own VPC? [Not sure.]

Dawny33··on Introducing Data Version Control – Iterative Machine Learning
Blog Post announcing the tool, and the motivation behind iterative ML and DVC : http://www.kdnuggets.com/2017/05/data-version-control-iterat...
Dawny33··on Ask HN: What are the best resources to properly learn Scala?
This course is super good! I also made some brief notes (not complete though), from this course: https://github.com/Dawny33/Notes/blob/master/Programming/Sca...
Dawny33··on Introducing Cloud Functions for Firebase
Wow! Great to see GCloud going the serverless way.

CloudFunctions vs Lambda would not be quite a clash now!

Dawny33··on Hive's Design Principles
Wow! I thought it's Apache Hive.

We're officially out of names :(

Dawny33··on How to avoid runtime errors on drones using SPARK (2015)
Took me an entire 3 paragraphs to realise it's not Apache Spark :D

But, an impressive inter-project post!

Dawny33··on Gosl – Go scientific library
I find it quite legit. Having a singe repo would hinder progress as more and more implementations are added.

Even JuliaStats followed a similar distribution (https://github.com/JuliaStats), and it looks neat and organized.

Dawny33··on Scipy Lecture Notes – Learn numerics, science, and data with Python
One doc to learn them all :)

The `Optimizing and debugging code` part is where most data scientists falter.

So, this is a really nice effort for bringing it all together!

Dawny33··on Udacity Launches the “Self-Driving Car Engineer Nanodegree”
Corresponding [Reddit discussion](https://www.reddit.com/r/MachineLearning/comments/4tsi2n/uda...) and [Medium post](https://medium.com/self-driving-cars/udacitys-self-driving-c...)
Dawny33··on Run code inline in Atom using Jupyter kernels
Super awesome! The gif can do with a better Atom theme, though!

The dark one isn't really ideal for a cell-by-cell Jupyter-like implementation

Dawny33··on Bayesian Machine Learning Explained
Nice post.

For getting started with Bayesian thinking and analytics, I highly recommend "Doing Bayesian Data Analysis_ A Tutorial with R and BUGS" by John Krushke

Dawny33··on 85 percent of Facebook video is watched without sound
I'm judging you now!
Dawny33··on Who Was Ramanujan?
True. Maybe, skimming through the article without bothering about the hyperlinks would be so much better.

He went to the extent of hyperlinking the words `Madras` and `Sanskrit` to their WolframAlfa search links :/

Dawny33··on Stream PirateBay movies directly from CLI
Well, I thought he deleted the repo, cause he didn't like my issue :P
Dawny33··on Stream PirateBay movies directly from CLI
Looks like the repo has been removed. Can anyone else confirm?
Dawny33··on Go Proverbs: Simple, Poetic, Pithy
Just in case you haven't read the footer text:

The proverbs are based on this awesome talk by Rob Spike: https://www.youtube.com/watch?v=PAAkCSZUG1c

And for new proverb ideas, you can open an issue here: https://github.com/go-proverbs/go-proverbs.github.io/issues

Dawny33··on AlphaGo beats Lee Sedol again in match 2 of 5
Wow! Monte Carlo Search learning into play in this match.

Especially when AlphaGo capitalized on just one suboptimal move of Lee Sedol.

Dawny33··on Texter
Even his homepage is crazy. Try scrolling on "Australia", "New York" and "Codepen" :)
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