An Introduction to Python Higher Order Functions

In a previous post, I created a guide for JavaScript higher-order functions to make dealing with arra...

In a previous post, I created a guide for JavaScript higher-order functions to make dealing with arra...

Intuitive explanations for the Normal, Bernoulli, Binomial, Poisson, Exponential, Gamma and Weibull distribution — with Python example code

Checking out should be easier, especially now.

Building fast, dynamic apps with Javascript and the static web

A different approach to speeding up AI and improving efficiency.

DuckDuckGo, the privacy-focused search engine, announced that August 2020 ended in over 2 billion total searches via its search platform.
Using SQLite to store your Pandas dataframes gives you a persistent store and a way of easily selecting and filtering your data

A review of 20+ deep learning NLP models and how to use them well
After I completed my first programming class, I went straight to Craigslist. I advertised my programming services. I called myself an experienced programmer who could code anything. I posted a link to

Comparison of two known engines for optical character recognition (OCR) and Naturtal Language Processing
A step-by-step guide to apply perspective transformation on images

The startup Realtime Robotics, co-founded by former MIT postdoc George Konidaris, is helping robots solve the motion planning problem by giving them collision avoidance capabilities.
Machine learning is often fueled by image data. In this guide, learn the basics about image annotation, common techniques, and key workforce considerations.

A unique python library that extends the python programming language and provides utilities that enhance productivity.

PyTorch has sort of became one of the de facto standards for creating Neural Networks now, and I love its interface.

Here, I provide an in-depth analysis of GPUs for deep learning/machine learning and explain what is the best GPU for your use-case and budget.

A value is worthless unless it tells you something.
Floating-point formats are not the most glamorous or (frankly) the important consideration when working with deep learning models: if your model isn’t working well, then your floating-point format certainly isn’t going to save you! However, past a certain point of model…
In this post, we’ll create an end to end pipeline for image multiclass classification using Pytorch.This will include training the model, putting the model’s results in a form that can be shown to business partners, and functions to help deploy the model easily. As an added…

I regularly help pre-seed entrepreneurs identify and evaluate potential startup opportunities. The following is a set of heuristics I’ve developed and collected over the years that might of u…
Beyond using media queries and modern CSS layouts, like flexbox and grid, to create responsive websites, there are certain overlooked things we can do well to

Data Structures & Algorithms (DSA) is often considered to be an intimidating topic - a common...
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...