20 Awesome Julia Tips And Tricks For The Advantageous Programmer

Some quick tips to bring your Julia software to the next levelContinue reading on Towards Data Science »

12h

Which Programming Languages Do Hackers Use?

Analyzing the Exploit Database with PythonPhoto by Luca Bravo on UnsplashIn 2021, together with fellow scientists, we conducted a survey at the German Chaos Computer Club (CCC). Our goal was to find out which programming languages are most commonly used by hackers. This article follows up the survey and compares its findings with an analysis of the...

16h

Emojis Aid Social Media Sentiment Analysis: Stop Cleaning Them Out!

Leverage emojis in social media sentiment analysis to improve accuracy.Photo by Denis Cherkashin on UnsplashTL;DR:Including emojis in the social media sentiment analysis would robustly improve the sentiment classification accuracy no matter what model you use or how you incorporate emojis in the loopMore than half of the popular BERT-based encoders...

16h

Fundamentals of Statistics All Data Scientists & Analysts Should Know — With Code — Part 1

This article is a comprehensive overview of the fundamentals of statistics for Data Scientists and Data Analysts.Continue reading on Towards Data Science »

17h

Advanced Guide: Avoiding Max Character Limits on the Microsoft Translator API by Auto-Batching…

Making the best use of the free tier subscriptionContinue reading on Towards Data Science »

17h

Self-Supervised Learning in Computer Vision

How to train models with only a few labeled examplesContinue reading on Towards Data Science »

18h

How to Measure and Improve the Diversity of Forecasting Ensembles

Using the Bias-Variance-Covariance decomposition to analyze forecasting ensemblesContinue reading on Towards Data Science »

19h

Multinomial Logistic Regression in R

Statistics in R SeriesContinue reading on Towards Data Science »

19h

Segmenting Text Into Sentences Using NLP

Feature engineering, statistical model, and learning from feedbackContinue reading on Towards Data Science »

19h

How to Create a Synthetic Social Network Using Python

Understand the application of graph generation algorithms in creating synthetic graphsContinue reading on Towards Data Science »

20h