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Data Science & Engineering

Data Capitalism: Innovation, Extraction, Social Conscience

June 9, 2022 by Chloe Lubin

data capitalism

How to advance social capital in a world increasingly governed by surveillance capitalism?About a year ago, I read Atlas of AI by Kate Crawford, a brilliant analysis of the extractive processes that govern the field of machine learning, from environmental resource allocation to the harvesting of our political fabric to data privacy infringements. This article … [Read more...] about Data Capitalism: Innovation, Extraction, Social Conscience

How I Built An AI Text-to-Art Generator

November 10, 2021 by Fathy Rashad

AI text-to-art generator

OverviewThis article is a write-up on how I built Text2Art.com in a week. Text2Art is an AI-powered art generator based on VQGAN+CLIP that can generate all kinds of art such as pixel art, drawing, and painting from just text input. The article follows my thought process from experimenting with VQGAN+CLIP, building a simple UI with Gradio, switching to FastAPI to … [Read more...] about How I Built An AI Text-to-Art Generator

Construct A Biomedical Knowledge Graph With NLP

November 5, 2021 by Tomaz Bratanic

biomedical knowledge graph

I have already demonstrated how to create a knowledge graph out of a Wikipedia page. However, since the post got a lot of attention, I’ve decided to explore other domains where using NLP techniques to construct a knowledge graph makes sense. In my opinion, the biomedical field is a prime example where representing the data as a graph makes sense as you are often analyzing … [Read more...] about Construct A Biomedical Knowledge Graph With NLP

Simple Model Stacking, Explained And Automated

November 2, 2021 by Jen Wadkins

model stacking

An overview of Model StackingIn model stacking, we don’t use one single model to make our predictions — instead, we make predictions with several different models, and then use those predictions as features for a higher-level meta model. It can work especially well with varied types of lower-level learners, all contributing different strengths to the meta model. Model … [Read more...] about Simple Model Stacking, Explained And Automated

Online Experiments Tricks – Variance Reduction

October 19, 2021 by Sophia Yang

variance reduction

Why do we need variance reduction?When we do online experiments or A/B testing, we need to ensure our test has high statistical power so that we have a high probability to find the experimental effect if it does exist. What are the factors that might affect power? Sample sizes, sampling variance of the experiment metric, significance level alpha, and effect size.The … [Read more...] about Online Experiments Tricks – Variance Reduction

How To Visualize Databases As Network Graphs In Python

October 7, 2021 by Thomas Baumgartner

database visualization

At work I recently faced the challenge of having to analyze the data model of an SQL database consisting of more than 500 tables with thousands of relations. At this scale, the built-in visualization function of phpMyAdmin is insufficient for getting a deep understanding of the structure. What I needed was a tool in which I can apply various filters (e.g., table and … [Read more...] about How To Visualize Databases As Network Graphs In Python

A Guide To Knowledge Graphs

October 5, 2021 by Mohit Mayank

knowledge graphs

Table of ContentsIntroduction- What is a Knowledge Graph (KG)?- Why KG?- How to use KG?KG in practice- Open source KGs- Creating custom KG- KG ontology- Hosting KG (database)- Query facts from KGIntroductionIn this section, we will introduce KG by asking some simple but intuitive questions about KG. In fact, we will cover the what, why, and how of the knowledge … [Read more...] about A Guide To Knowledge Graphs

Practical Guide To Ensemble Learning

September 28, 2021 by Idil Ismiguzel

ensemble learning

Ensemble learning is a technique used in machine learning to combine multiple models into a group model, in other words into an ensemble model. The ensemble model aims to perform better than each model alone or if not, to perform at least as well as the best individual model in the group.In this article, you will learn popular ensemble … [Read more...] about Practical Guide To Ensemble Learning

Hands-on Survival Analysis With Python

September 27, 2021 by Idil Ismiguzel

survival analysis

Survival analysis is a popular statistical method to investigate the expected duration of time until an event of interest occurs. We can recall it from medicine as patients' survival time analysis, from engineering as reliability analysis or time-to-failure analysis, and from economics as duration analysis.Besides these disciplines, survival analysis can also be used by HR … [Read more...] about Hands-on Survival Analysis With Python

Data Scientist’s Guide To Efficient Coding In Python

September 14, 2021 by Varshita Sher

Python for data scientists

In this article, I wanted to share a few tips for writing cleaner codes that I have absorbed in the last year — mainly from pair programming. Generally speaking, including them as part of my everyday coding routine has helped me generate supreme quality Python scripts, that are easily maintainable and scalable over time.Ever thought why senior developer’s code look so … [Read more...] about Data Scientist’s Guide To Efficient Coding In Python

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