Making Python Programs Blazingly Fast
Let’s look at the performance of our Python programs and see how to make them up to 30% faster!
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.
C/C++ is the mother of many popular programming languages out there today, all the fancy programming...

The right way of being practical, theoretical and technical when analyzing churn
Read this accessible and conversational article about understanding transformers, the data science way — by asking a lot of questions that is.

Which kinds of autoencoders exist and what are their applications?

Get started with the best Machine Learning platform for Kubernetes in 10 minutes.
Locating fraudulent transactions with simple theory.
Scaling your Pythonic data science and machine learning to the cloud using Dask. All from the comfort of your own laptop.
CSS Media queries are a way to target browser by certain characteristics, features, and user preferences, then apply styles based on those things.
Photo by Eric Krull on Unsplash. Parsing and processing documents can provide a lot of value for alm...
I have been working as a Data Analyst for almost 5 years now but, in this time I have mostly used business intelligence software for all…

Science News, Physics, Science, Philosophy, Philosophy of Science


Understanding why it works
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Beneath our awareness, the brain lets certain kinds of stimuli automatically capture our attention by lowering the priority of the rest.
Ensemble is an art and science
Bite-sized data science
Meet our new book, “TypeScript in 50 Lessons”, a deep-dive to understand what TypeScript is, how it works, and how you can make it work for you. With code walkthroughs, hands-on examples and common gotchas. 464 pages. Jump to table of contents and get the book right away.

Deep reinforcement learning has trained AIs to beat humans at complex games like Go and StarCraft. Could it also do a better job at running the economy?

In this post, we will be learning a tool to reveal the working mechanism of a black box model. But before we start, let talk about…

Three very different case studies — involving hostages in Afghanistan, a suicidal man in Calgary, and a tug-of-war between Brazilian and French businessmen — point to the importance of face, or reputation, in negotiations. To help you and your negotiating partners succeed, it is…

This is companion wiki of The Hundred-Page Machine Learning Book by Andriy Burkov. The book that aims at teaching machine learning in a concise yet systematic manner.
Takeaways from our experience building state-of-the-art hyperparameter tuning in Determined AI’s integrated deep learning training…

Understanding why your model is uncertain and how to estimate the level of uncertainty

Whoever first said that "the fastest code is no code" must have really liked memoization. After all, memoization speeds up your application by running less code. In this article, Jonathan Miles introduces us to memoiz...
How to use GeoPandas and Leaflet?
Python 3.9 New Feature Guide

There’s an art to being a performer whose face will never be seen.