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1 point by hsddiesel 298 days ago | link | parent | on: Women Multi-Coloured Printed Top


That's cool. Could be useful for creating user data for testing

Love it. Thanks for sharing. :-)

This is an in-depth overview of how to calculate LTV for on-time purchases (like for retail / ecommerce). Most LTV advice talks about subscription businesses.

Pretty interesting -- always need to know what action people will take with the results of an analysis before starting one. Can save you tons of time.

I like the idea to have managed workflows, but seems to be some open questions: - How failed DAGs will be charged? - How simple will be to see the statuses of the DAG? and - How the integration between on-premise & cloud works?

I'm going through the pandas courses at and learning new things about pandas even though I've been using it for a couple of years.
1 point by ildoonet 998 days ago | link | parent | on: AutoML for Data Augmentation

[Fast autoaugment]

30x-250x efficient method to find augmentation policies automaticallty, relative to AutoAugment by Google.

Arxiv : Code :

Hi guys! We are David and Pedro (aka @TheGurusTeam).

Just made a simple API serving a NLP model able to spot toxic comments and classify them as racist, insult, etc. (trained with Google/Jigsaw dataset).

We Finished the MVP today and wanted to share it with you. We are both Data Scientists and initiated this as a side project (weekends, holidays) while working full time, but have no idea about how to proceed and get our firsts customers. If you are interested, we can provide test API keys for free, just contact us ;-).

Our model is tuned for fast evaluation rather than being perfect but its results are pretty decent and constantly improving. There is a test form in the landing page so you can play with it as much as you want.

Thanks for your feedback in advance, and if you know someone who could benefit from this product, please share!

1 point by oluwaseun1 1003 days ago | link | parent | on: Marriage: together forever

Marriage is a life union between a man and a woman. That's how God made it.find out more <a href =">here</a>;
1 point by oluwaseun1 1003 days ago | link | parent | on: Marriage: together forever

Marriage is a life union between a man and a woman. That's how God made it.find out more<a href =">here</a>;

freelance cloud system management jobs

This is what a data science profile looks like on Kyso:


Visit it
1 point by blograbbit21 1018 days ago | link | parent | on: Does Random Forest Overfit?

I do not think it does but besides lets look deeper into it

Check out

Check out

While I agree with a lot of the points that are made in the Nature article Scientists rise up against statistical significance (, I worry that they are changing one measure that can be abused for another.

Hey, we built amie-fern to address the version control and reproducibility issues from rapid prototyping with Jupyter notebooks. It is a Jupyter labs extension + web app that automatically tracks code, variables, data, and their dependencies in an interactive graph so you can explore your results and create a script that gets you back to any point in your workflow. Check out our short video, sign up for free, and try it! We'd love to hear what you think. Thanks 🙏!

I believe this post significantly dilutes the value of this site.

Hey look at me, I only have 2 years industry experience but I can help you to become rich.

BTW buy my book so that I can become one.

f__k off...

Get this snake oil out of here. You sound like a used-car salesman.

Author here:

Even though this is a post about joining an engineering team. I think it's just as relevant for data scientists. I've spent a significant amount of time working with data and I consider myself a data scientist as well.

Hey, Peter: get stuffed.

I wrote up the exact steps I took to break into data science. Feel free to contact me with any questions!
1 point by lexda45 1071 days ago | link | parent | on: Data Science Remote Jobs

It offers a lot of remote projects for data scientists.

How do you search for projects?

I created the Machine Learning Canvas to make it easier to ask the right questions at the beginning of an ML project, and to save people from wasting time and money due to a poor design of their ML system. I’m now releasing the first draft of a book that contains everything there is to know about this framework, in a 1-hour read.

The contest is now live!

Haha, so the author goes to interviews to map interview processes? ;-)

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