Real-Time Computer Vision: Face Recognition with a Robot

Data Engineering – From Zero to Hero

statworx @ UXDX Conf 2022

Paradigm Shift in NLP: 5 Approaches to Write Better Prompts

statworx @ vuejs.de Conf 2022

Application and Infrastructure Monitoring and Logging: metrics and (event) logs

Zero-Shot Text Classification

How to Get Your Data Science Project Ready for the Cloud

Gender Repre­sentation in AI – Part 1: Utilizing StyleGAN to Explore Gender Directions in Face Image Editing

statworx AI Principles: Why We Started Developing Our Own AI Guidelines

How to Scan Your Code and Dependencies in Python

Data-Centric AI: From Model-First to Data-First AI Processes

DALL-E 2: Why Discrimination in AI Development Cannot Be Ignored

The helfRlein package – A collection of useful functions

Unfold 2022 in Bern – by Cleverclip

7 Key Takeaways From Start Summit X Hack 2022

How to Create Datasets With GitHub Actions

Break the Bias in AI

How to Reduce the AI Carbon Footprint as a Data Scientist

2022 and the Rise of statworx next

5 Highlights from the Digital Festival Zurich 2021

Why Data Science and AI Initiatives Fail – A Reflection on Non-Technical Factors

How to Automatically Create Project Graphs With Call Graph

STATWORX Cheatsheets – Python Basics Cheatsheet for Data Science

Deploy and Scale Machine Learning Models with Kubernetes

3 Scenarios for Deploying Machine Learning Workflows Using MLflow

Car Model Classification III: Explainability of Deep Learning Models With Grad-CAM

Car Model Classification II: Deploying TensorFlow Models in Docker Using TensorFlow Serving

Car Model Classification I: Transfer Learning mit ResNet

Car Model Classification IV: Integrating Deep Learning Models With Dash

Potential Not Yet Fully Tapped – A Commentary on the EU’s Proposed AI Regulation

5 Types of Machine Learning Algorithms With Use Cases

2020 – A Year in Review for Me and GPT-3

5 Practical Examples of NLP Use Cases

The 5 Most Important Use Cases for Computer Vision

New Trends in Natural Language Processing – How NLP Becomes Suitable for the Mass-Market

5 Technologies That Every Data Engineer Should Know

Generative Adversarial Networks: How Data Can Be Generated With Neural Networks

Fine-tuning Tesseract OCR for German Invoices

Whitepaper: A Maturity Model for Artificial Intelligence

How to Provide Machine Learning Models With the Help Of Docker Containers

STATWORX 2.0 – Opening of the New Headquarters in Frankfurt

Why You Should Use Containerized Microservices When Deploying Your Data Science Application

How to Build a Machine Learning API with Python and Flask

Archive Existing RDS Files

Model Regularization – The Bayesian Way

Off To New Adventures: STATWORX Office Soft Opening

Two Patterns To Secure REST APIs

A Social Network Simulation In The Tidyverse

How To Dockerize ShinyApps

What’s Your Problem – Framing Data Science Questions The Right Way

Movie Recommendation With Recommenderlab

Airflow for Data Scientists

Making Of: A Free API For COVID-19 Data

How To Build A Dashboard In Python – Plotly Dash Step-by-Step Tutorial

Why Is It Called That Way?! – Origin and Meaning of R Package Names

Defining Your Own Shortcut in RStudio

Community Detection with Louvain and Infomap

Testing REST APIs With Newman

Dynamic UI Elements in Shiny – Part 2

Animated Plots using ggplot and gganimate

Machine Learning Goes Causal II: Meet the Random Forest’s Causal Brother

Machine Learning Goes Causal I: Why Causality Matters

How To Create REST APIs With R Plumber

STATWORX 2019 – A Year in Review

Tuning Random Forest on Time Series Data

Combining Price Elasticities and Sales Forecastings for Sales Improvement

Access your Spark Cluster from Everywhere with Apache Livy

STATWORX on Tour: Wine, Castles & Hiking!

Evaluating Model Performance by Building Cross-Validation from Scratch

Time Series Forecasting With Random Forest

Using Emojis and .png as Icons in Your ggplot

Dynamic UI Elements in Shiny – Part 1

R or Python

What the Mape Is FALSELY Blamed For, Its TRUE Weaknesses and BETTER Alternatives!

Web Scraping 101 in Python with Requests & BeautifulSoup

Getting Started With Flexdashboards in R

Bang Bang – How to program with dplyr

Revisited: Forecasting Last Christmas Search Volume

Simulating the Bias-Variance Tradeoff in R

STATWORX Summer Barbecue 2019

Interactive Network Visualization with R

Coding Random Forests in 100 lines of code*

Using Reinforcement Learning to play Super Mario Bros on NES using TensorFlow

6 Myths About Refueling – Tackled With Statistics

Automated Creation of Docker Containers

How to Speed Up Gradient Boosting by a Factor of Two

R and Python: Using Reticulate to Get the Best of Both Worlds

Fixing the Most Common Problem With Plotly Histograms

Running your R script in Docker

Roses Are Red, Violets Are Blue, Statistics Can Be Romantic Too!

Plotly – An Interactive Charting Library

Ensemble Methods in Machine Learning: Bagging & Subagging

STATWORX on Tour: Year-End Event in Belgium

Dreaming of a White Christmas – With ggmap in R

Building a Scaleable Deep Learning Serving Environment for Keras Models Using NVIDIA TensorRT Server and Google Cloud

Coding Regression trees in 150 lines of R code

Coding Gradient Boosted Machines in 100 Lines of R Code

Master R shiny: One trick to build maintainable and scaleable event chains

How we use emojis

Forecasting Last Christmas Search Volume on Google Trends Using Deep Learning

Food for Regression: Mixing in Cross-Elasticities and Promotional Effects

A Performance Benchmark of Different AutoML Frameworks

Learning Images with Keras

Custom Themes in ggplot2

CodeR: an LSTM that writes R Code

A Performance Benchmark of Google AutoML Vision Using Fashion-MNIST

Using Themes in ggplot2

Using Machine Learning for Causal Inference

Food for Regression: Using Sales Data to Identify Price Elasticity

A Framework to Automate Your Work: Why Airflow?

A Framework to Automate Your Work: How to Set Up Airflow!

Customizing Time and Date Scales in ggplot2

Coordinate Systems in ggplot2: Easily Overlooked and Rather Underrated

About Risks and Side-Effects… Consult Your Purrr-Macist

Make RStudio Look the Way You Want — Because Beauty Matters

strsplit – But Keeping the Delimiter

pandas vs. data.table: A Study of Data-Frames
– Part 2

Diamonds and Faceting Are a Data Scientist’s Best Friends

pandas vs. data.table: A Study of Data-Frames
– Part 1

Simulating Regression Data with Xy

How Not to Overplot

XGBoost Tree vs. Linear

Compiling R Code in Sublime Text