Ask HN: Is your company sticking to on-premise servers? Why? | Hacker News

5 Ways to Splat in Ruby

We take a look at 5 different ways to leverage Ruby's splat (*) operator.

The Greatest Creative Run in the History of Popular Music

It’s Stevie Wonder’s “classic period.”

Five Cool Python Libraries for Data Science - KDnuggets

Check out these 5 cool Python libraries that the author has come across during an NLP project, and which have made their life easier.

Insurance Risk Pricing — Tweedie Approach - Towards Data Science

An illustrative guide to estimate the pure premium using Tweedie models in GLMs and Machine Learning

The boring technology behind a one-person Internet company

The tech stack of Listen Notes, the best podcast search engine and database.

Website Builder: Make a Website for Your Business | Mailchimp

Our website builder makes it easy to create a website for your business, or to connect your existing site to Mailchimp. Try it today!

How to Create Bash Aliases | Linuxize

Bash aliases are essentially shortcuts that can save you from having to remember long commands and eliminate a great deal of typing when you are working on the command line.

Dot Product in Linear Algebra for Data Science using Python

Building up the intuition for how matrices help to solve a system of linear equations and thus regressions problems

Data engineering and data shaping in Practical Data Science with R 2nd Edit

A kind reader recently shared the following comment on the Practical Data Science with R 2nd Edition live-site. Thanks for the chapter on data frames and data.tables. It has helped me overcome an o…

Isolation Forest from Scratch

Implementation of Isolation forest from scratch for further understanding of the algorithm

Back of the envelope estimation hacks

There are two types of engineers, the ones that can quickly do estimates and the ones that can’t. Are these people just smarter, or is there more to it? Enrico Fermi was a master at estimation Back of the envelope estimation is a skill that can be learned with practice. It…

The 2019 Web Almanac

The Web Almanac is an annual state of the web report combining the expertise of the web community with the data and trends of the HTTP Archive.

Image Segmentation With 5 Lines 0f Code

Computer vision is evolving on a daily basis. Popular computer vision techniques such as image classification and object detection have been used extensively to solve a lot of computer vision…

Classification of Brain MRI as Tumor/Non Tumor

The Power-Law Distribution

Learn Python: Sets

Introduction to sets in Python

Recursive Feature Elimination (RFE) for Feature Selection in Python

Recursive Feature Elimination, or RFE for short, is a popular feature selection algorithm. RFE is popular because it is easy to configure and use and because it is effective at selecting those features (columns) in a training dataset that are more or most relevant in predicting…

A Simplified approach using PyCaret for Anomaly Detection

Explaining outlier detection with PyCaret library in python

What is isotonic regression?

Isotonic regression is a method for obtaining a monotonic fit for 1-dimensional data. Let’s say we have data such that . (We assume no ties among the ‘s for simplicity.) Informally, isotonic regression looks for such that the ‘s approximate … Continue reading →

Text Mining with R: Gathering and Cleaning Data

Case study of tweets from comments on Indonesia’s biggest media

10 things you should know about Sets in Python

Guidelines to use sets in Python

Complete Data Engineer’s Vocabulary

Concepts that data engineers must know in 10 words or less

All About Python List Comprehension

Elegant, comfortable, concise, and fast way to build lists

Entropy and Information Gain

Yet another tool used to make Decision Tree splits.

Habits of High-Functioning Teams

I often struggle to explain what it means to be part of a high-functioning software team. Sure, there are mountains of literature, and an entire genre of LinkedIn thought leadership that professes all kinds of guidelines and heuristics about what makes teams work, but in my…

Guide to Concurrency in Python with Asyncio

This is a quick guide to Python’s asyncio module and is based on Python version 3.8. Introduction Why focus on asyncio? A quick asyncio summary A quick concurrent.futures summary Green Threads? Event Loop Awaitables Coroutines Tasks Futures Running an asyncio program Running…

Latent Variables & Expectation Maximization Algorithm

Bayesian Approach to Machine Learning

https://towardsdatascience.com/the-end-of-flask-in-data-science-738920090ed9

Fabula Storytelling Cards

Fabula is an analogue framework for fiction writers and screenwriters

Classic Probability Problem #2: The Coupon Problem

Data Science & Machine Learning Interviews

Pricing with 4 & 9 Scientific Strategies

Genetic Algorithms in Python using the DEAP library

Applied to the optimization of a meal plan for macronutrients

Full Page Reload

Or, how we learned to stop worrying and embrace the abstraction

Deploy Machine Learning Applications using Chef

Overview of deploying a model with the Chef — A Configuration Management Tool

Digital Design of a Leading Zero Counter using Recursion in Verilog | Linke

Discover 100 collaborative articles on domains such as Marketing, Public Administration, and Healthcare. Our expertly curated collection combines AI-generated content with insights and advice from industry experts, providing you with unique perspectives and up-to-date…

Diving Deep Into The Nvidia Ampere GPU Architecture

When you have 54.2 billion transistors to play with, you can pack a lot of different functionality into a computing device, and this is precisely what

3 Highly Practical Operations of Pandas

Sample, where, isin explained in detail with examples.

Generating Synthetic Patient Data

A quick look at using Synthea

Idea Generation

The most common question prospective startup founders ask is how to get ideas for startups. The second most common question is if you have any ideas for their startup. But giving founders an idea...

How to Use Polynomial Feature Transforms for Machine Learning

Often, the input features for a predictive modeling task interact in unexpected and often nonlinear ways. These interactions can be identified and modeled by a learning algorithm. Another approach is to engineer new features that expose these interactions and see if they improve…

Transformers for Multilabel Classification

BERT, XLNet, RoBERTa, etc.

Illustrated Guide to Transformer

A component by component breakdown analysis

Speeding training of decision trees

New method reduces training time by up to 99%, with no loss in accuracy.

Looking Inside Mahalanobis Metric Matching

How does it actually work?

Moats Before (Gross) Margins

In 2019, long before the outbreak of COVID-19, many lower gross margin tech companies were not being well-received by the public markets, and an excessive spotlight was cast by many on company gross margins. In the present moment, that attention has only grown for both public…

What is the business model for DuckDuckGo? (2017) | Hacker News

Guitar Decomposed: 5. Mutating the Third

So far we’ve been discussing chord transformations that didn’t change the chord’s function. We’ve been essentially dealing with just one major chord and its transpositions. …

How Treadmill Running Differs from Running Outside

Yes, the physiology and biomechanics of treadmill running are a little different. But how you feel about it is probably more important.

What Happened to the Shows That Were Supposed to Become the Next ‘Game of Thrones’?

Every network and streamer has been searching for a series that can become the next piece of monoculture, but so far nothing has captured the world’s attention like the fight for the Iron Throne