The Recipe to Bob's Red Mill's Supreme Recipes

If you've ever cooked a recipe from the back of one of the company's 400+ products, you have one very busy pastry chef to thank.

How One Man and His Dog Rowed More Than 700 Kākāpōs to Safety

In the late 19th century, Richard Henry laid a blueprint for modern conservation in New Zealand.

How to Become a Great Impostor

Why do people believe a scammer? Consider the story of Ferdinand Waldo Demara.

How to See the Morocco Most Tourists Don’t

On an epic bike trip through the Atlas Mountains and the Sahara Desert, a pair of travelers learns when to say yes to adventure.

All You Have to Do Is Ask

Leadership Now is a leading source for leadership development and analysis. We believe that anyone can make a difference by leading from where they are.

Radical hydrogen-boron reactor leapfrogs current nuclear fusion tech

"We are sidestepping all of the scientific challenges that have held fusion energy back for more than half a century," says the director of an Australian company that claims its hydrogen-boron fusion technology is already working a billion times better than expected.

In Search of Darkness

In a world where everything is illuminated, something essential is lost.

Costco is refreshingly boring

The company's values used to just be considered good business sense. Not anymore.

Why Talented People Don’t Use Their Strengths

We often undervalue what we inherently do well.

Louis Armstrong, the King of Queens

The jazz musician’s impeccably maintained home in a modest New York City neighborhood is a testament to his — and midcentury design’s — legacy.

A Comprehensive Guide to Natural Language Generation

Follow this overview of Natural Language Generation covering its applications in theory and practice. The evolution of NLG architecture is also described from simple gap-filling to dynamic document creation along with a summary of the most popular NLG models.

Figma's Features for the Entire Design Process | Toptal

Can one program handle the entire digital product design process? Learn how Figma, a web-based design tool, promotes collaboration, iteration, and documentation throughout the design process. #product #mobile #app #design #digital #ui #ux

Using Bayesian Kalman Filter to predict positions of moving particles / obj

In this article, we shall see how the Bayesian Kalman Filter can be used to predict positions of some moving particles / objects in 2D. This article is inspired by a programming assignment from the coursera course Robotics Learning by University of Pennsylvania, where the goal…

Accuracy vs Speed – what Data Scientists can learn from Search

Delivering accurate insights is the core function of any data scientist. Navigating the development road toward this goal can sometimes be tricky, especially when cross-collaboration is required, and these lessons learned from building a search application will help you…

Meet the CIA’s Insectothopter

Sadly, the 1-gram spy craft couldn’t withstand a gentle breeze, but later dragonfly-inspired UAVs proved far more capable

Transformers

Transformers are a type of neural network architecture that have been gaining popularity. Transformers were recently used by OpenAI in…

Data animations with Python and MoviePy - __del__( self )

Python has some great data visualization librairies, but few can render GIFs or video animations. This post shows how to use MoviePy as a generic …

https://discotask.com/teams/49d338fb-02a4-4a2a-890f-489d2da9e321

RISC-V Stumbling Blocks

Recently, I’ve started to explore RISC-V. I experienced the journey as pretty refreshing, particularly because I’ve been working on x86 low-level software almost exclusively for about 10 years.

MCMC Methods: Metropolis-Hastings and Bayesian Inference

This article will introduce you to Markov Chain Monte Carlo (MCMC) methods, namely Metropolis-Hastings and Bayesian inference, and demonstrate how you can harness them for your next project.

Automate the Boring Stuff with Python

Dive Really Deep into YOLO v3: A Beginner’s Guide

443K subscribers in the learnmachinelearning community. A subreddit dedicated to learning machine learning

Doing a SQL join with CSV files with xsv

How to combine data spread over two CSV files, like separate tables in a normalized relational database.

Zoomable Treemap

This treemap supports zooming: click any cell to zoom in, or the top to zoom out.

Table of Contents (2) — jupyter_contrib_nbextensions 0.5.0 documentation

json linter at DuckDuckGo

DuckDuckGo. Privacy, Simplified.

Recommendation System Series Part 2: The 10 Categories of Deep Recommendati

Categories of Deep Recommendation Systems

The 25 biggest gameday bangers of the decade, ranked

We asked 27 arena and stadium DJs around the country which songs defined the decade.

Altmetric – Top 100 articles – 2019

What research caught the public imagination in 2019? Check out our annual list of papers with the most attention.

imsnif/what: ...is taking up my bandwidth?!

Terminal bandwidth utilization tool.

Reinforcement Learning, Part 3: The Markov Decision Process

MDP in action: the next step toward solving real-life problems with RL and AI

Ruby Lazy Enumerators

Ruby support for lazy loading enumerators

The Economics of Building Knowledge Bases | Diffblog

During the summers of my high school years in suburban Georgia, my friend and I would fill the time by randomly walking into local establishments asking for odd jobs. It was a great way as a studen…

The Best ERP Tools to Use in 2019

Newsweek released their America's Best Business Tools 2019 list, and for this article, we chose to to focus on the best ERP software tools to use.

Productivity Lessons from Artists and Entrepreneurs

A few timeless productivity lessons that apply no matter what you’re doing.

Startup Economic Lessons from Shen Yun’s Empire — Packy McCormick

You probably think startups have nothing in common with a classical Chinese dance performance. You’re wrong.

Getting to the root of the revenue multiple | TechCrunch

Valuation concerns are top of mind for many investors. For those in tech investing, this concern is perhaps most acute, given the generally high multiples assigned to the sector. There are good articles addressing how revenue multiples have moved over time or why this…

Quotes and Lessons about Strategy from Machiavelli’s “The Prince” – Effecti

Interactive Lorenz Attractor

Interactive Lorenz attractor with 10,000 butterflies under the Lorenz attractor flow.

Overcoming Bias : Should Prediction Markets be Charities?

Advocates of prediction markets often focus their attention on markets that can be run for profit.

How to train a new language model from scratch using Transformers and Tokenizers

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Show HN: Critic.sh – Dead simple testing framework for Bash

Dead simple testing framework for Bash with coverage reporting - Checksum/critic.sh

Electric Six - Danger! High Voltage [Funk Rock]

256 votes, 35 comments. 35M subscribers in the Music community. Reddit’s #1 Music Community

How I completely transformed my body in one year.

And if I can do it, you definitely can.

List of Time Series Methods in One Picture - DataScienceCentral.com

The picture below was found in some tweets posted by top data science influencers, though its origin is somewhat obscure. Many of these methods are described in Wikipedia. Many are also described on Data Science Central, see for instance here and here. The image seems to be…

A Directory of High Quality, Real-Time Event Sources

Connect APIs, remarkably fast. Free for developers. - PipedreamHQ/pipedream

Compiler Explorer - C++ (x86-64 gcc 9.2)

void fill1(char *p, size_t n) { std::fill(p, p + n, 0); } void fill2(char *p, size_t n) { std::fill(p, p + n, '\0'); }

Python String Processing Primer

Try this string processing primer cheatsheet to gain an understanding of using Python to manipulate and process strings at a basic level.

Blogging with screenshots

Bayesian Bandits explained simply - MLWhiz

There are multiple ways to doing the same thing in Pandas, and that might make it troublesome for the beginner user.This post is about handling most of the data manipulation cases in Python using a straightforward, simple, and matter of fact way.