Published in DataDrivenInvestor·Feb 1Can Benford’s Law Help Identify AI-Generated TextIn the example of news texts generated with GPT3 — Benford’s law is a statistical distribution that states that in many data series arising in a “natural way,” the digit 1 occurs most often as the first digit, followed by 2, and so on. Benford’s law gives the probabilities of all digits. Random numbers do not follow this distribution. Benford's law - Wikipedia Benford's law, also known as the Newcomb-Benford law, the law of anomalous numbers, or the first-digit law, is an…en.wikipedia.orgNaturallanguageprocessing3 min readNaturallanguageprocessing3 min read
Published in DataDrivenInvestor·Dec 14, 2022Writing a chess Program in one hour with chatGPTCoding skills test — In a previous article, I developed a complete chess program in one day using Python. I am writing a chess program in one day. The post is about writing a simple computer chess program within one day with only a few lines of code. The…andreasstckl.medium.com Now, I started the experiment to shorten this time significantly by using chatGPT to generate the code. chatGPT is a chatbot based on GPT3 from OpenAI that is currently the talk of the town:Chatgpt16 min readChatgpt16 min read
Published in DataDrivenInvestor·Dec 10, 2022Introduction to StreamlitDashboards with Python — Streamlit is an open-source Python library that makes it easy to build and deploy custom web applications for data science and machine learning. With Streamlit, you can create beautiful, interactive dashboards and data visualizations that can be shared with others. Here’s how you can get started with Streamlit: Install Streamlit…Python7 min readPython7 min read
Published in Towards Data Science·Nov 6, 2022A Synthetic Image Dataset Generated with Stable DiffusionTesting the capabilities of Stable Diffusion with Wordnet — Current models for the generation of synthetic images from text input are not only able to generate very realistic-looking photos but also to handle a large number of different objects. In the paper “Evaluating a Synthetic Image Dataset Generated with Stable Diffusion”, we use the “Stable Diffusion” model to investigate…Image Generation6 min readImage Generation6 min read
Published in DataDrivenInvestor·Oct 9, 2022News Article Generation from Youtube Video ClipsWith Whisper, GPT3 and Stable Diffusion — In this post, I would like to show how a news article consisting of text and images can be generated fully automatically from a news clip published on Youtube with the help of different software tools. …Gpt 34 min readGpt 34 min read
Published in DataDrivenInvestor·Sep 2, 2022Marketing Data Science — Web Tracking with Google Analytics 4And Export to “Big Query” — In this article series, I wrote so far about Marketing Data Science ”Use Cases”, ”Customer Data Platforms”, and “Visualisation”, and I described typical applications of Data Science ”Lead Prediction”, “Churn Prediction” and ”Segmentation”. …Google Analytics5 min readGoogle Analytics5 min read
Published in Towards Data Science·Aug 19, 2022NLP2Chart — Information Visualization in Natural Language -Part 2An extended application to create charts with commands in natural language using CodeX — In a previous article, I presented a prototype of a method that allows the creation of information graphs and plots using instructions in natural language. In this article, I would like to give an extended and revised version and show the results of a study with users alongside some examples. …Naturallanguageprocessing5 min readNaturallanguageprocessing5 min read
Published in DataDrivenInvestor·Aug 13, 2022Marketing Data Science — Working with TableauVisualizing Data From Google Analytics — In this article series, I wrote so far about Marketing Data Science ”Use Cases” and ”Customer Data Platforms”, and I described typical applications of Data Science ”Lead Prediction”, “Churn Prediction” and ”Segmentation”. In this article, I show how to visualize Data from Google Analytics with Tableau. Tableau Software is a…Online Marketing7 min readOnline Marketing7 min read
Published in DataDrivenInvestor·Jul 10, 2022Marketing Data Science — Segmentation of CustomersTracking Data from an Online Shop — In this article series, I wrote so far about Marketing Data Science ”Use Cases” and ”Customer Data Platforms”, and I described typical applications of Data Science ”Lead Prediction” and “Churn Prediction”. In this article, I bring an example of “Customer Segmentation”. Customer segmentation is a data-driven decision technique to classify…Data Science7 min readData Science7 min read
Published in DataDrivenInvestor·Jun 13, 2022Marketing Data Science — Churn PredictionAn Example with Data from Kaggle — In the first and the second article of this series, we described typical applications of Data Science in the field of online marketing and customer data platforms. In the third article, an example of lead prediction. In this article, we bring an example of churn prediction. One of the most…Marketing8 min readMarketing8 min read
