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> Important properties of the Normal distribution:

> * The total area under the curve is 1.

If you think this is a property of the "Normal distribution", rather than a property of distributions in general, let me go ahead and completely ignore your article.

1 point by Armavita 1 day ago | link | parent | on: Houston SEO Company

Armavita is a Houston SEO company that provides a full range of digital marketing services including SEO consultancy services to small and large businesses across the globe. With our years of experience and a number of strategies we help you improve your rankings and encourage organic site traffic and revenue.

https://www.cooldatasets.com is another one
1 point by tomtx 2 days ago | link | parent | on: Building AI & Busting Silos

Why there are just few real AI products for customers in finance?

Why do you think there are so few whiskeys combining smokiness with complexity?

Here's another interesting one https://www.reddit.com/r/algotrading/comments/9radvt/what_ar...
1 point by nischalm 15 days ago | link | parent | on: Lazy loading data in R

This is my first technical blog post! Please do read and give feedback. Thanks!

Spatial co-location pattern mining refers to the task of discovering the group of objects or events that co-occur at many places. Extracting these patterns from spatial data is very difficult due to the complexity of spatial data types, spatial relationships, and spatial auto-correlation. We model the co-location pattern discovery as a clique enumeration problem over a neighborhood graph (which is materialized using a distributed graph database). Further, we propose three new traversal based algorithms, namely CliqueEnumG, CliqueEnumK and CliqueExtend. These algorithms allow for a trade-off between time and memory requirements and support interactive data analysis without having to recompute all the intermediate results.

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1 point by pat 20 days ago | link | parent | on: Data job board

Maybe check out https://ai-jobs.net - it's super simple, mobile-friendly and has a filter to find jobs by region as well.
1 point by legallegends 22 days ago | link | parent | on: Online Trademark Registration

Trademark registration from Legal Legends helps establish ownership and protect brand of an entity. A trademark is a visual symbol, which may be a word, name, device, label or numerals used by a business to distinguish it goods or services from other similar goods or services originating from a different business. Register your brand and Logo in South Africa with the Online trademark registration service from Legal Legends.

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1 point by qnsi 32 days ago | link | parent | on: Data job board

Default sorting by name is useless. Also, I wish there was a way to check all job offers in Europe.
1 point by vvmisic 32 days ago | link | parent | on: Interpretable Optimal Stopping

Hi there -- one of the authors of the paper here. Optimal stopping problems constitute an important class of stochastic control problems, with many real applications, such as pricing financial options. Typically they are solved using approximate dynamic programming methods, which involve coming up with some approximation of the value function or the continuation value function.

In this paper, we take a different approach, where we represent the stopping policy as a tree, and propose a methodology for learning this tree from the data; so in the same way that one comes up with a tree for predicting a binary label in classification, or predicting a continuous value in regression, one obtains a tree that prescribes an action for each possible state. We show using a standard benchmark problem in option pricing that these tree policies perform very well, while being as simple and interpretable as tree models used in other areas of machine learning. We appreciate any questions or comments!


Listen on: iTunes/Apple Podcasts: http://bit.ly/df-apple Google Podcasts: http://bit.ly/df-google Spotify: http://bit.ly/df-spotify Stitcher: http://bit.ly/df-stitcher SoundCloud: http://bit.ly/df-sc Anchor: http://bit.ly/df-anchor Breaker: http://bit.ly/df-breaker Castbox: http://bit.ly/df-castbox Overcast: http://bit.ly/df-overcast Pocket Casts: http://bit.ly/df-pc Podbean: http://bit.ly/df-podbean Radio Public: http://bit.ly/df-rp Tune In: http://bit.ly/df-ti

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How is this connected with data science?

Where is the data science here? This is scripting and some data viz

Why, the link opens a forbidden error. I couldn't read the story from Safari either.

Where are we on our digital transformation journey? This hub explains the digital revolution, milestones, and known issues.
1 point by mobiwebtech 43 days ago | link | parent | on: Fantasy Sports Software

Ready to Design a Brand New Fantasy Sports Website for You! Mobiweb Technologies have expertise and years of experience in developing fantasy sports software for games, platforms, and websites for all type of sports such as football, cricket, basketball, baseball, golf, hockey, soccer and auto racing. We are the leading providers of Fantasy Sports software, website and mobile application development. We have developed interactive and feature rich Fantasy Sports solutions for a number of businesses which are running successfully by having millions of users.

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1 point by gpierre 54 days ago | link | parent | on: ECCV 2018 conference recap

We were at ECCV 2 weeks ago. This is a recap on two verticals (we voluntarily did not made the recap exhaustive) - new nn architectures (mostly for detection and segmentation purposes) - 6D pose estimation using RGB (not RGB-D) images and the 3D model. Hope you find this interesting.
1 point by pzel 58 days ago | link | parent | on: Make Python Pandas go fast

A short summary of how we used Wallaroo to parallelize a pandas pipeline for speed gains. I'm the author of the post -- if you have any questions, please feel free to post them :)
2 points by stonedux 61 days ago | link | parent | on: A Machine Learning Cheatsheet

Great work, thanks for sharing ;)

this blog post is all about how to get started with reading machine learning papers and to be able to understand following more advanced papers

I finally figured it out. This was really a hassle to deal with, code snippets on MS Word. Hopefully these set-ups help save up some of your time.

Excited to share this. The default checklist[1] and the examples of where things have gone wrong[2] may be the most interesting!

[1] http://deon.drivendata.org/#default-checklist

[2] http://deon.drivendata.org/examples/

1 point by mkrcah 73 days ago | link | parent | on: Taking things personally

OP here. This is something I've been pondering recently and have seen to some extent in all companies that I have worked with. I've found that objective discussions, based on mutually agreed pros & cons, are often more important than the specific machine-learning model used.
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