The (Auction) House Doesn’t Always Win

As Christie’s, Sotheby’s and others vie to lure sellers of big-name artworks, analysts wonder if the houses are running oversize risks.

The Boogaloo Movement Is Not What You Think - bellingcat

Translations:English (UK)Русский (Россия)On May 26th, crowds gathered in Minneapolis, Minnesota, to protest the death of 46-year-old George Floyd at the hands of the city’s police department. Floyd was black. Many of the protesters were people of color. The department fired four…

Ten Eisen features that changed the way I do deep learning

How a simple `pip install eisen` will save days of work and solve (almost) all of your problems.

Auction Houses Find New Ways to Survive

Their business model harkens to the 1700s, but the fight for buyers has moved to the internet and to Asia.

Private Sales at Auction Houses Are Thriving for Three Key Reasons - Artsy

Even as auction house salesrooms have gone quiet amid the pandemic, Christie’s, Phillips’s, and Sotheby’s private sales departments are keeping busy.

5 Fabulous Python Packages For Data-Science Nobody Knows About

Do you know about these packages?

Simple Guide to Choropleth Maps

Choropleth Maps using Plotly to track COVID 19 cases.

Visualizing Geospatial Data in Python

Open source tools and techniques for visualizing data on custom maps

The New American Songbook

Here are the hits we’ll be listening to for the next 100 years.

x86 instruction listings

The x86 instruction set refers to the set of instructions that x86-compatible microprocessors support. The instructions are usually part of an executable program, often stored as a computer file and executed on the processor.

External Redirection | LinkedIn

Comment Ranking Algorithms: Hacker News vs. YouTube vs. Reddit

How to Make Iced Coffee (The Best Method Isn't Cold Brew) | Epicurious

Shake it up, baby.

Go and CPU Caches

How understanding the processor architecture can help us in optimizing performance?

Financial Independence — Simulating ODEs With Python

Use Python to set your path towards it.

A Machine Learning Algorithm Every Data Scientist Needs: Bagged Trees

Automated Data Import with Python

A different approach to import data files automatically in python.

Creating High Resolution Satellite Images with Mapbox and Python

Ultra high resolution satellite and elevation imagery

Eigenfaces — Face Classification in Python

Not enough data for Deep Learning? Try Eigenfaces.

The Python Standard Library — modules you should know as a data scientist

with usage examples

How to Start a Limited Liability Company (LLC)

An LLC can protect you from business obligations and debts.

Amazon Web Services

Implementing Deep Convolutional Generative Adversarial Networks (DCGAN)

How I Generated New Images from Random Data using DCGAN

Counterfactual Regret Minimization with Kuhn Poker

Compute-In Memory Accelerators Up-End Network Design Tradeoffs

Compute paradigm shifting as more data needs to be processed more quickly.

Federated Learning using PyTorch and PySyft | LearnOpenCV

A gentle introduction to federated learning using PyTorch and PySyft with the help of a real life example.

5/3nm Wars Begin

New transistors structures are on the horizon with new tools and processes, but there are lots of problems, too.

ProductHired/open-product-management: A curated list of product management

A curated list of product management advice for technical people. - ProductHired/open-product-management

Good Synthesis is the Start of Good Sensemaking

When you're faced with uncertainty, the best thing you can do is analyse your inputs, synthesise a new model, and then destroy it to start over again.

A Product Manager’s Guide to Machine Learning: Cloud Machine Learning

Why obtaining the Amazon Web Services Machine Learning — Specialty (“AWS ML”) certification is one of the best starting points to gaining…

6 GAN Architectures You Really Should Know

Short technical information about Word2Vec, GloVe and Fasttext

Introduction

Salience: The psychology of an experience you can’t ignore

Customers can’t buy from a brand they don’t notice

Contrasting contrastive loss functions

A comprehensive guide to four contrastive loss functions for contrastive learning

Learn Genetics

Genetic Science Learning Center

Wynton Marsalis on 12 Essential Jazz Recordings

Wynton Marsalis selects and discusses 12 essential jazz recordings, from King Oliver to Charles Mingus and beyond.

How to create Voronoi regions with Geospatial data in Python

A step by step guide on creating and plotting Voronoi diagrams in Python

Iris Classifier Flask App

Hey guys this my first blog on Medium. This is an Iris classification ML model turned into a flask app for hosting on Heroku.

An Introduction to Optical Character Recognition for Beginners

Your first step towards reading text from unstructured data

Complete Architectural Details of all EfficientNet Models

Let’s dive deep into the architectural details of all the different EfficientNet Models and find out how they differ from each other.

goabstract/Marketing-for-Engineers: A curated collection of marketing articles & tools to grow your product.

A curated collection of marketing articles & tools to grow your product. - GitHub - goabstract/Marketing-for-Engineers: A curated collection of marketing articles & tools to grow y...

NIST Handbook of Engineering Statistics

Virtual Background in Webcam with Body Segmentation Technique

Webcam background change is not limited to Zoom now, I just did it in the browser with tensorflow.js body-pix model

Graph Theory | BFS Shortest Path Problem on a Grid

Hi all, welcome back to another post of my brand new series on Graph Theory named Graph Theory: Go Hero. I undoubtedly recommend the…

Lambda, Map, Filter and Sorted — Efficient Programming With Python

Lognormal, Weibull, and Gamma distribution in One Picture - DataScienceCentral.com

At first glance, the Lognormal, Weibull, and Gamma distributions distributions look quite similar to each other. Selecting between the three models is “quite difficult” (Siswadi & Quesenberry) and the problem of testing which distribution is the best fit for data has been…

A brief history of typeface and its online evolution

Did you know TNW’s Couch Conference has a track fully dedicated to exploring new design trends this year? Check out the full ‘Sprint’ program here. It’s easy to take books and other printed material for granted. However, before the inventio

Solving non-linear problems with genetic algorithms (Part 3)

In this series of articles, discover how genetic algorithms (also called evolutionary algorithms) can help you solve non-linear problems!

The Student t-Distribution

Turn Your Excel Workbook Into A SQLite Database

Transforming spreadsheets into queryable database tables