A Visual Guide to Quantization
Demystifying the Compression of Large Language Models
Posts
Most of my technical and psychological articles can be found on my newsletter. Below, you can find those as well as the occasional personal article that does not fit in with newsletter.
A Visual Guide to Mamba and State Space Models
An Alternative to Transformers for Language Modeling
BERTopic: What Is So Special About v0.16?
Exploring Zero-Shot Topic Modeling, Model Merging, and LLMs
Which Quantization Method is Right for You? (GPTQ vs. GGUF vs. AWQ)
Exploring Pre-Quantized Large Language Models
Introducing KeyLLM  -  Keyword Extraction with LLMs
Use KeyLLM, KeyBERT, and Mistral 7B to extract keywords
3 Ways To Improve Your Large Language Model
Enhancing the power of Llama 2
Topic Modeling with Llama 2
Create easily interpretable topics with BERTopic and Llama 2
Decoding Auto-GPT
The Mechanics of an Autonomous GPT-4
GPT Psychology
Analogies with Human Thinking and Reasoning
Using Whisper and BERTopic to model Kurzgesagt’s videos
Which topics can we find in the videos of Kurzgesagt?
6 Lessons I learned from developing Open-Source Projects
A Data Scientist’s Perspective
The Ambiguity of the Data Science Profession
Finding your way among the noise
Topic Modeling on Images? Why not?!
But let’s call it Concept Modeling instead!
Creating a Data Science Portfolio
Tips and examples for building up your portfolio
Why Jupyter Notebooks aren’t all that Bad!
And how you can supercharge them.
The Truth about working as a Data Scientist
Pros and Cons of working as a Data Scientist
Misleading Graphs
…and how to fix them!
9 Distance Measures in Data Science
The advantages and pitfalls of common distance measures.
Interactive Topic Modeling with BERTopic
An in-depth guide to topic modeling with BERTopic.
String Matching with BERT, TF-IDF, and more!
Introducing PolyFuzz, a framework for fuzzy string matching.
Keyword Extraction with BERT
A minimal method for extracting keywords and keyphrases.
Creating a class-based TF-IDF with Scikit-Learn
Extracting informative words per class.
Topic Modeling with BERT
Leveraging BERT and TF-IDF to create easily interpretable topics.
Why Psychologists can be great Data Scientists
The Intersection of Psychology and Data Science
Monitoring your Machine Learning Model
What to look out for when deploying your ML model
Transform your ML-model to Pytorch with Hummingbird
Accelerate your Machine Learning model by leveraging Tensors
Unit Testing for Data Scientists
Using Pytest to improve the stability of your pipelines
Tips for transitioning from Psychology to Data Science
And how you can do both.
How to Detect Bias in AI
Detecting common (cognitive) biases in your data
Reinforcement Learning in a few lines of code
Train SOTA RL-algorithms using Stable Baselines and Gym
Stacking made easy with Sklearn
Create a StackingClassifier in a few lines of code with Scikit-Learn V0.22.
Build and Deploy a Dashboard with Streamlit
Deploying your Streamlit application to Heroku to showcase your Data Solution
Validating your Machine Learning Model
Going beyond k-Fold Cross-Validation
How to Deploy a Machine Learning Model
Creating a production-ready API using FastAPI + Uvicorn
Tips for Advanced Feature Engineering
Improving an important step in ML.
Create, Visualize and Interpret Customer Segments
In-depth exploration of cluster analysis.
How to leverage Explainable Machine Learning
Using PDP, LIME, and SHAP to create interpretable decisions that create value for your stakeholders
How to use NLP to Analyze WhatsApp Messages
Using NLP to analyze WhatsApp messages between my wife and I