The Invisible Boy Who Became Mr. Invincible

One man's unlikely journey from servant and prisoner of war to bodybuilding champion—with an epic, trans-continental love story along the way.

A Doctor’s Diary: The Overnight Shift in the E.R. (Published 2019)

In the typical emergency room, demand far outpaces the care that workers can provide. Can the E.R. be fixed?

Perspective | Blight wiped out the American chestnut. Parallel efforts are close to bringing it back.

One method, the slow, methodical work of traditional hybridization, is long familiar. The other, genetic engineering, is more controversial.

Pasta With Cauliflower, Bacon and Sage Recipe

A comforting dinner for a cold night, this hearty pasta has all the makings of a crowd-pleaser like fried sage leaves, crispy bacon and nutty roasted cauliflower This recipe demonstrates the magic of starchy pasta water: Swirled with lemon juice and Parmesan, it creates a…

Prime Power: How Amazon Squeezes the Businesses Behind Its Store (Published 2019)

Twenty years ago, Amazon opened its storefront to anyone who wanted to sell something. Then it began demanding more out of them.

What Medieval People Got Right About Learning - Scott H Young

Apprenticeships beat schooling. Here's why they're a superior method for learning, and how you can apply this to the things you want to master.

How Do You Save an Endangered Tree from Extinction When You Can't Save Its

“Recalcitrant” seeds hold the secret to saving a critically endangered Indian tree—thanks to a bit of human help

The Role of Wind in a Tree’s Life

By Anupum Pant Remember the biosphere 2? In short, it’s a miniature version of our planet, now owned by the university of Arizona, constructed for scientists to study how the planet’s l…

Readers’ choice: Tokyo’s best ramen shops

Last month, The Japan Times published its curated list of Tokyo's five best ramen shops. But Japan's capital city is a truly massive metropolis boasting restaurants galore, so we wanted to know: What did we overlook? And where are your favorite ramen shops?

The falling price of a TV set is the story of the American economy | The Ou

A 50-inch TV for $300 comes with some trade-offs.

A Framework for First Principles Thinking | Neil Kakkar

Leverage mental models to think better. First Principles Thinking is an excellent model for critical thinking. This post looks at how to practice First Principles Thinking with lots of examples.

Inside North Korea’s Hacker Army

The regime in Pyongyang has sent hundreds of programmers to other countries. Their mission: Make money by any means necessary. Here's what their lives are like.

The Surprising Psychology of Dieting and Plate Design

New research is challenging long-held assumptions about how our eyes influence our stomachs.

An Ode to the Video Store Chain, on the Occasion of Blockbuster’s Demise

Ah, video stores, where viewers—and cinephile clerks—got to develop eclectic tastes.

What Ecstasy Does to Octopuses

Despite their wacky brains, these intelligent animals seem to respond to the drug in a very similar way to humans.

The Influencer and the Hit Man: How a Years-Long Domain Name Feud Ended in a Bloody Shootout

To get his URL, the founder of State Snaps turned to extreme measures

The Chinese Roots of Italy’s Far-Right Rage

The country’s new politics are often attributed to anger over migrants. But the story begins decades ago, when China first targeted small textile towns.

Why the Best Things in Life Are All Backwards

The ability to let go of control when one wants it most is one of the most important skills anyone can develop.

Why Does Cilantro Taste Like Soap To Some People?

The herb’s unique flavor can make a dish for some and ruin it for others.

Inside the Brotherhood of Pi-hole Ad Blockers

For the advertising industry, ad blocking is an existential crisis. For the Pi-hole community, it’s a sport.

Journey to the Place Where Pesto Was Born

Somewhere on its path to global ubiquity, pesto became a catchall name for any random herby sauce thrown in a blender. Now Ligurians want it back

The Absurd Story Behind China's Biggest Bank Robbery

Two lottery-crazed clerks robbed the Agricultural Bank of China in Handan, Hebei province of over US$ 6 million

How Renaissance’s Medallion Fund Became Finance’s Blackest Box

The Medallion Fund, an employees-only offering for the quants at Renaissance Technologies, is the blackest box in all of finance.

How to Survive Solitary Confinement

An ex-convict on how to set your mind free.

Henry Lee Lucas Was Considered America's Most Prolific Serial Killer. But He Was Really a Serial Liar.

Netflix's 'The Confession Killer' examines the true story of the man who said he killed nearly 600 people.

‘It appeared that we had time’: How the FAA missed a chance to save Jennifer Riordan

The mother of two with an “amazing spirit” died after being sucked halfway out a window on a Southwest plane.

Why databases use ordered indexes but programming uses hash tables (evanjones.ca)

PyTorch elastic training

PyTorch elastic training.

5 Techniques to Prevent Overfitting in Neural Networks

In this article, I will present five techniques to prevent overfitting while training neural networks.

The Neural Network Zoo - The Asimov Institute

With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first. So I decided to compose a cheat sheet containing many…

Inside TensorFlow: Eager execution runtime

Take an inside look into the TensorFlow team’s own internal training sessions--technical deep dives into TensorFlow by the very people who are building it. On this episode of Inside TensorFlow, Software Engineer Alex Passos discusses the eager execution runtime. Let us know what…

nlp-recipes/README.md at master · microsoft/nlp-recipes

Natural Language Processing Best Practices & Examples - microsoft/nlp-recipes

Lit BERT: NLP Transfer Learning In 3 Steps - Towards Data Science

In this tutorial we learn to quickly train Huggingface BERT using PyTorch Lightning for transfer learning on any NLP task

Collection of Jupyter notebooks for quantitative finance

Collection of notebooks about quantitative finance, with interactive python code. - cantaro86/Financial-Models-Numerical-Methods

Python Tuples and Tuple Methods

Brush up on your Python basics with this post on creating, using, and manipulating tuples.

Neural Networks 201: All About Autoencoders

Autoencoders can be a very powerful tool for leveraging unlabeled data to solve a variety of problems, such as learning a "feature extractor" that helps build powerful classifiers, finding anomalies, or doing a Missing Value Imputation.

Research Guide: Model Distillation Techniques for Deep Learning

Knowledge distillation is a model compression technique whereby a small network (student) is taught by a larger trained neural network (teacher). The smaller network is trained to behave like the large neural network. This enables the deployment of such models… Continue reading…

Markov Chain Analysis and Simulation using Python - Towards Data Science

Solving real-world problems with probabilities

A Pirate's Guide to Accuracy, Precision, Recall, and Other Scores

How to Label 1M Data Points per Week

Practical Data Science with R, 2nd Edition, IS OUT!!!!!!!

Practical Data Science with R, 2nd Edition author Dr. Nina Zumel, with a fresh author’s copy of her book!

Workflow Tools for Model Pipelines

Chapter 5 excerpt of “Data Science in Production”

How to Speed up Pandas by 4x with one line of code

While Pandas is the library for data processing in Python, it isn't really built for speed. Learn more about the new library, Modin, developed to distribute Pandas' computation to speedup your data prep.

Correlation Coefficients in One Picture - DataScienceCentral.com

Correlation coefficients enable to you find relationships between a wide variety of data. However, the sheer number of options can be overwhelming. This picture sums up the differences between five of the most popular correlation coefficients. Part two covers several less…

When your data doesn’t fit in memory: the basic techniques

You can process data that doesn’t fit in memory by using four basic techniques: spending money, compression, chunking, and indexing.

P-value Explained Simply for Data Scientists

This post is about various evaluation metrics and how and when to use them.

Recommender Engine - Under The Hood - DataScienceCentral.com

Many of us are bombarded with various recommendations in our day to day life, be it on e-commerce sites or social media sites. Some of the recommendations look relevant but some create range of emotions in people, varying from confusion to anger. There are basically two types of…

Time Series Prediction - A short introduction for pragmatists · Blog · Liip

Optimizers Explained - Adam, Momentum and Stochastic Gradient Descent

The 5 Classification Evaluation metrics every Data Scientist must know

This post is about various evaluation metrics and how and when to use them.