Little Sunfish: The Robot That Could - Longreads
How the best robot, "Little Sunfish," helped Japanese scientists understand the scope of the damage at the Fukushima Daiichi nuclear power plant.
Indie Hackers: Work Together to Build Profitable Online Businesses
Connect with developers sharing the strategies and revenue numbers behind their companies and side projects.
gplEDA Homepage
The Great High School Impostor | GQ
What Artur Samarin pulled off at a school in small-town Pennsylvania is one of the boldest hoaxes of our time.
HN Search powered by Algolia
Hacker News Search, millions articles and comments at your fingertips.
http://try.instabug.com/product-managers
Skewness vs Kurtosis – The Robust Duo
Kurtosis and Skewness are very close relatives of the “data normalized statistical moment” family – Kurtosis being the fourth and Skewness the third moment, and yet they are often used to detect very different phenomena in data. At the same time, it is typically recommendable to…
Why sell barbells?
I'm often asked why I started FringeSport. People inquire, "Of all the things to do, why sell barbells?" I tell them that if I wanted only to make money,
How Does Xilinx Use Its Logic Fabric to Implement Efficient Multipliers?
This article will review the structure of the binary multipliers that use the look-up tables (LUTs) in the Xilinx logic fabric.
Envy’s hidden hand
Namibian hunter-gatherers deride those who stand out. What does this tell us about why, and how, we care about fairness?
Minimalism Is Just Another Boring Product Wealthy People Can Buy
I think it’s probably no secret by now that I hate minimalism. I hate it as the incredibly-tedious piece of […]
You Don’t Have to Surf to Fall in Love With This Bohemian Moroccan Beach To
This is the laid-back Moroccan surf town of your dreams.
Murder at the Alcatraz of the Rockies
The inside story of the first homicide in America’s most secure prison.
Git Commands Ultimate Tutorial [Part 2]
Did you ever have a problem with Git that you knew a command could fix but you just couldn't remember what one it could be? With this tutorial, you can quickly and easily find it, and get a better understanding how each of them works.
Understanding what is behind Sentiment Analysis (Part II)
Fine-tuning our sentiment classifier
A guide to receptive field arithmetic for Convolutional Neural Networks
The receptive field is perhaps one of the most important concepts in Convolutional Neural Networks (CNNs) that deserves more attention from…
Murder at the Alcatraz of the Rockies — The Atavist Magazine
The inside story of the first homicide in America’s most secure prison.
HyperTools: A python toolbox for gaining geometric insights into high-dimensional data — hypertools 0.6.2 documentation
Command Line Tricks For Data Scientists
For many data scientists, data manipulation begins and ends with Pandas or the Tidyverse. In theory, there is nothing wrong with this…
A lost vision of West Virginia – Explore Parts Unknown
Famous photos of Appalachia in the Depression tell only part of the story.
Heavy Rotation: 10 Songs Public Radio Can't Stop Playing
This month's playlist includes the soulful stylings of Leon Bridges and River Whyless' sobering meditation on the American Dream.
Top 10 errors from 1000 Ruby on Rails projects (and how to avoid them)
To give back to our community of developers, we looked at our database of thousands of projects and found the top 10 errors in Ruby on Rails projects. We’re going to show you what causes them and how to prevent them from happening. If you avoid these "gotchas," it'll make you a…
CSS Grid Example
An Introduction to Hashing in the Era of Machine Learning
In December 2017, researchers at Google and MIT published a provocative research paper about their efforts into “learned index structures”…
Introduction to the CSS Grid Layout With Examples
In this tutorial, I will cover the basics of the CSS grid layout with example scenarios. CSS Grid is supported by almost all modern browsers now, and it is ready to be used in production. Unlike...
Monsieur Bébé: The Brief, Strange Life of Raymond Radiguet
The seventeen-year-old took Paris by storm with his racy, amoral first novel. Shortly thereafter, a séance predicted his untimely death.
10 Command Line Recipes for Deep Learning on Amazon Web Services - Machine
Running large deep learning processes on Amazon Web Services EC2 is a cheap and effective way to learn and develop models. For just a few dollars you can get access to tens of gigabytes of RAM, tens of CPU cores, and multiple GPUs. I highly recommend it. If you are new to EC2 or…
How we grew from 0 to 4 million women on our fashion app, with a vertical machine learning approach
My name is Gabi (my bio), and I’m the CEO and co-founder of Chicisimo. We launched three years ago, our goal was to offer automated outfit…
Understanding Feature Engineering (Part 3) — Traditional Methods for Text D
Traditional strategies for taming unstructured, textual data
Understanding Feature Engineering (Part 2) — Categorical Data
Strategies for working with discrete, categorical data
Understanding Feature Engineering (Part 1) — Continuous Numeric Data
Strategies for working with continuous, numerical data
Why Sephora merged its digital and physical retail teams into one departmen
Since the teams were combined, Sephora's customer profiles have been rebuilt to include 360-degree data that tracks in-store purchases, interactions with sales people, online browsing and online purchasing.
“The Clock Is Ticking”: Inside the Worst U.S. Maritime Disaster in Decades
A recording salvaged from three miles deep tells the story of the doomed “El Faro,” a cargo ship engulfed by a hurricane.
What the Arlee Warriors Were Playing For
On Montana’s Flathead Indian Reservation, basketball is about much more than winning.
On Dessert: A New Pastry Layers Tastes of France and Syria
Baklava and mille-feuille come together in this chewy, buttery, sweet and creamy morsel.
A Gentle Introduction to Concept Drift in Machine Learning - Machine Learni
Data can change over time. This can result in poor and degrading predictive performance in predictive models that assume a static relationship between input and output variables. This problem of the changing underlying relationships in the data is called concept drift in the…
After 30 years, she was about to be deported. Then, a tiny church offered h
Start With Gradient Boosting, Results from Comparing 13 Algorithms on 165 D
Which machine learning algorithm should you use? It is a central question in applied machine learning. In a recent paper by Randal Olson and others, they attempt to answer it and give you a guide for algorithms and parameters to try on your problem first, before spot checking a…
Pretending to Be Okay
A profile of UConn basketball coach Geno Auriemma, who has not found peace despite unprecedented success.
Traffic: How Air Traffic Control Works | GQ
At any given moment there are roughly 6,000 planes on their way to somewhere over American airspace. Getting them safely down to the ground will depend upon the efforts of a small group of controllers who, nearly without fail, get the job done despite long hours, grim working…
Probabilistic Filters By Example: Cuckoo Filter and Bloom Filters
Coronado High - The Atavist Magazine
How a group of high school kids from a sleepy beach town in California became criminal masterminds.
Comparing Low Power Wireless Technologies (Part 3) | DigiKey
Low power wireless technologies are adapting to the Internet of Things by including IP connectivity and mesh networking.
Comparing Low Power Wireless Technologies (Part 2) | DigiKey
Each of the many short-range wireless technologies has unique benefits, requiring careful attention to product complexity, power consumption, and cost.
Comparing Low-Power Wireless Technologies (Part 1) | DigiKey
The multitude of short-range wireless technologies provides engineers with optimized solutions for their applications, but makes careful selection paramount.
The Key to Good Luck Is an Open Mind - Facts So Romantic
Really lucky people may have a specific set of skills that bring chance opportunities their way.
5 Types of Recommenders - DataScienceCentral.com
Summary: There are five basic styles of recommenders differentiated mostly by their core algorithms. You need to understand what’s going on inside the box in order to know if you’re truly optimizing this critical tool. In our first article, “Understanding and Selecting…
To Speed Up AI, Mix Memory and Processing
New computing architectures aim to extend artificial intelligence from the cloud to smartphones
CatBoost vs. Light GBM vs. XGBoost - KDnuggets
Who is going to win this war of predictions and on what cost? Let’s explore.
Multiscale Methods and Machine Learning - KDnuggets
We highlight recent developments in machine learning and Deep Learning related to multiscale methods, which analyze data at a variety of scales to capture a wider range of relevant features. We give a general overview of multiscale methods, examine recent successes, and compare…