Z-score for anomaly detection
Small-bites data science
Small-bites data science

On Syd Barrett's time with Pink Floyd and making an album with household objects and found sounds.

We've recently built support for multi-armed bandits into the Stitch Fix experimentation platform. This post will explain how and why.

A brief introduction to Elasticsearch

Here are the upcoming events in the semiconductor industry.

Some of our insights from developing a PyTorch framework for training and running deep learning models …
With no definitive release date for DDR5, DDR4 is making significant strides.

GitHub CLI brings GitHub to your terminal. It reduces context switching, helps you focus, and enables you to more easily script and create your own workflows. Earlier this year, we…

One infographic that explains how Reinforcement Learning, Deep Learning and Monte Carlo Search Trees are used in AlphaGo Zero.

How do creators find ideas to write about? Poets, artists, and authors alike have been wondering about the source of our inspiration for millennia. But what's the difference between inspiration and idea sex?
Normality tests to check if a variable or sample has a normal distribution.
Reading suggestions to keep you up-to-date with the latest and classic breakthroughs in AI and Data Science

AI researchers from the Ludwig Maximilian University (LMU) of Munich have developed a bite-sized text generator capable of besting OpenAI’s state of the art GPT-3 using only a tiny fraction of its parameters. GPT-3 is a monster of an AI sys
TikTok's mission is to inspire creativity and bring joy. We're building a global community where you can create and share authentically, discover the world, and connect with others. The For You feed i
TamaGo - ARM/RISC-V bare metal Go.
How you could use defaultdict and Counter to make your code short and readable

Written by Karl Fowlkes,this post offers a great rundown of clearing a sample and everything that comes with it. (Thanks, Karl!) Let’s dive in…
In the first post of the series we've looked at the CPython VM. We've learned that it works by executing a series of instructions called bytecode....
The power of join keys and how data standards can make data more valuable and accelerate collaboration and innovation. This is the second installment of the DaaS Bible series.

Jamie Robins and I have written a book that provides a cohesive presentation of concepts of, and methods for, causal inference. Much of this material is currently scattered across journals in sever…
Flask is a straightforward and lightweight web application framework for Python applications. This guide walks you through how to write an application using Flask with a deployment on Heroku.
How to create simple CI/CD pipelines for automated deployments

They say "performance is king'... It was true a decade ago and it certainly is now. With more and mor...
Let’s look at the performance of our Python programs and see how to make them up to 30% faster!
Making a Framework for API Development and Deployment

What does Microsoft getting an "exclusive license" to GPT-3 mean for the future of AI democratization?

I come from the world of MATLAB and numerical computing, where for loops are shorn and vectors are king. During my PhD at UVM, Professor…

A Comprehensive Guide to Pytest for your Data Science Projects

Information theory is a subfield of mathematics concerned with transmitting data across a noisy channel. A cornerstone of information theory is the idea of quantifying how much information there is in a message. More generally, this can be used to quantify the information in an…

It is often desirable to quantify the difference between probability distributions for a given random variable. This occurs frequently in machine learning, when we may be interested in calculating the difference between an actual and observed probability distribution. This can…
In mathematical statistics, the Kullback–Leibler (KL) divergence (also called relative entropy and I-divergence[1]), denoted D KL ( P ∥ Q ) {\displaystyle D_{\text{KL}}(P\parallel Q)} , is a type of statistical distance: a measure of how one reference probability…

Rumor has is this ad was banned for being offensive. However, this was not the only spot to poke fun at Soviet Russia at the time. Directed by Joe Sedelmaier.

This article was on the hacker news frontpage. You can find the related discussion here. Every developer needs access to some servers for example to check the application logs. Usually, this is done using public-private key encryption where each developer generates their own…

Single-clock design is not always as easy as it seems.

A tour of one of the most popular topic modelling techniques and a guide to implementing and visualising it using pyLDAvis

An Intuitive Explanation and Exploration
Proximal Policy Optimization using RLlib-Ray

by creating them from scratch
Tune your Machine Learning models with open-source optimization libraries

Shopping on Facebook and Instagram is finally here. With the recent launches of Shops on both apps and Live Shopping, Facebook is facilitating easier commerce across its platform. Here is a list of tools to help you sell on Facebook and Instagram.
How to easily and effectively incorporate spatial features in Python using Geopandas
Squaring the Earth

Finding Similar Subsequences for Known Patterns

How to manage external resources in Python with your custom context managers

Jordan DeLong overviews the past, current and near future "good parts" of C++'s functional side through the colored lens of his biases.