Two Assholes Lost in the Woods: An Oral History of ‘Pine Barrens’
Twenty years after it aired, David Chase and Co. look back on one of the wildest, boldest, funniest episodes of ‘The Sopranos’ ever made
Twenty years after it aired, David Chase and Co. look back on one of the wildest, boldest, funniest episodes of ‘The Sopranos’ ever made

The day the fire came to the Franklin Ranch.

Machine-learning algorithms can quickly process thousands of hours of natural soundscapes

Let's be clear about something right at the start: If you're not optimizing your site search to convert more visitors into buyers, you're missing out on
Modern AI systems approach tasks like recognising objects in images and predicting the 3D structure of proteins as a diligent student would prepare for an exam. By training on many example...

The animation studio’s artists are masters at tweaking light and color to trigger deep emotional responses. Coming soon: effects you’ll only see inside your head.

The plan to kill Osama bin Laden—from the spycraft to the assault to its bizarre political backdrop—as told by the people in the room.
In linear algebra, the singular value decomposition (SVD) is a factorization of a real or complex matrix into a rotation, followed by a rescaling followed by another rotation. It generalizes the eigendecomposition of a square normal matrix with an orthonormal eigenbasis to any…
Computer vision is the field of computer science that focuses on replicating parts of the complexity...

YAML (YAML Ain’t Markup Language) is a data serialization language used to create key-value pair conf...
Commandline one liners that makes your workflow more productive

Intuition for Unifying Theory of GLMs with Derivations in Canonical and Non-Canonical Forms
Generalized Linear Models (GLMs) play a critical role in fields including Statistics, Data Science, Machine Learning, and other computational sciences. In Part I of this Series, we provided a…

Bonus: What makes a good footballer great?

Prophet is a forecasting procedure implemented in R and Python. It is fast and provides completely automated forecasts that can be tuned by hand by data scientists and analysts.

I recently wrote a post about visualizing weather data from NOAA. We walked through processing the data and making some basic interactive maps with Plotly. In this article I want to use the same data…

Reduce the size of your dataset while keeping as much of the variation as possible

Far from being profoundly destructive, we humans have deep capacities for sharing resources with generosity and foresight

Create, maintain, and contribute to a long-living dataset that will update itself automatically across projects.

Deep dive into Streamlit with Airbnb data
Sometimes you make a data science , machine learning or computer vision projects but suddenly you stu...
This article will first address what makes Dask special and then explain in more detail how Dask works. So: what makes Dask special? Python has a rich ecosystem of data science libraries including…
To explore SQLite along with Python, which is a user-friendly and no-nonsense language, we are going...
In 1996, Appleton, French, and Vanderpump conducted an experiment to study the effect of smoking on a sample of people. The study was conducted over twenty years and included 1314 English women…

Using the power of randomness to answer scientific questions.

1 I suggest you to view demo in full new window. Click on top right most button to vi...

The way your name or a word rolls off the tongue can have some surprising effects on the judgements we make.

Deer can regrow their antlers, and humans can replace their liver. What else might be possible?
This blog post is part of a mini-series that talks about the different aspects of building a PyTorch Deep Learning project using Variational Autoencoders. In Part 1, we looked at the variational…
Blog post
While captive in a Navy program, a beluga whale named Noc began to mimic human speech. What was behind his attempt to talk to us?

Automation epitomizes the last few decades of rapid technological development where many processes take place without human intervention. But what exactly does it mean? These are the two most common…

Pandas is a data analysis and manipulation library for Python. It is one of the most popular tools among data scientists and analysts. Pandas can handle an entire data analytics pipeline. It provides…
:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints - jsbroks/coco-annotator

The first major interview with one of the most revered comedy writers of all time.

Whitfield Diffie and Martin Hellman are researchers who invented a safe method to communicate a password. Their 1976 paper opens with the…

The evolution of the slur's use — and the taboo around it — tells a story about what our culture values.
Memes come off as a joke, but some people are starting to see them as the serious threat they are.

Framework improves efficiency, accuracy of applications that search for a handful of solutions in a huge space of candidates.
Linux Documentation Project Works
Check out this Jupyter notebook!
Applications from cancer to covid-19
As Data Science continues to grow and develop, it’s only natural for new tools to emerge, especially considering the fact that data…
A simple quick solution for deploying an NLP project and challenges you may faced during the process.

Winner’s Interview: 2nd place, Kazuki Onodera