How a Neural Network Learned Its Own Fraud Rules: A Neuro-Symbolic AI Experiment
Most neuro-symbolic systems inject rules written by humans. But what if a neural network could discover those rules itself?
In this experiment, I extend a hybrid neural network with a differentiable rule-learning module that automatically extracts IF-THEN fraud rules during training. On the Kaggle C...
What I learned building and distributing my first Skill from scratch
The post How to Build a Production-Ready Claude Code Skill appeared first on Towards Data Science.
Generative AI vs Agentic AI: From Creating Content to Taking Action
The last two years were defined by a single word: Generative AI. Tools like ChatGPT, Gemini, and Claude turned AI from a tech term to a household name. However, we are now entering the next phase of the AI evolution. The conversation is shifting from AI that generates to AI that acts. Gone are the [...
The 2026 Data Mandate: Is Your Governance Architecture a Fortress or a Liability?
Is your data strategy 2026-ready? Get a deep dive into the mandatory shift toward human-in-the-loop oversight, active metadata, and the strategic advantages of European data sovereignty.
The post The 2026 Data Mandate: Is Your Governance Architecture a Fortress or a Liability? appeared first on Towa...
How to Switch from ChatGPT to Claude Without Losing Any Context or Memory
I asked ChatGPT how it feels about the recent and viral AI trend of switching from ChatGPT to Claude. Here is what it said: “As for how it makes me feel: I don’t have feelings or brand loyalty. But from a usefulness standpoint, it’s a good thing. Easier switching forces AI products to compete on […]...
A Beginner’s Guide to Building Autonomous AI Agents with MaxClaw
Most AI tools forget you as soon as you close the browser window. The system begins all interactions with a new user. AI agents provide a solution to this problem because they handle their complete workflow through their system. MaxClaw is one of the best in this category. MiniMax developed this sys...
Optimizing the cost and latency of your LLM calls with Prompt Caching
The post Why Care About Prompt Caching in LLMs? appeared first on Towards Data Science.
A Tale of Two Variances: Why NumPy and Pandas Give Different Answers
Imagine you are analyzing a small dataset: You want to calculate some summary statistics to get an idea of the distribution of this data, so you use numpy to calculate the mean and variance. Your output Looks like this: Great! Now you have an idea of the distribution of your data. However, your coll...
Exploratory Data Analysis for Credit Scoring with Python
Understanding default risk through statistical analysis of borrower and loan characteristics.
The post Exploratory Data Analysis for Credit Scoring with Python appeared first on Towards Data Science.
AI vs Generative AI: Key Differences, Models, and Real-World Uses
Tools like ChatGPT, Gemini, and Claude pushed AI into everyday conversations. Suddenly everyone was talking about AI and a newer term that appeared alongside it: Generative AI. The two are often used interchangeably, but they aren’t the same thing. Generative AI isn’t a replacement for AI. It’s a pa...
How AI has completely transformed the way I study as a graduate student
The post Solving the Human Training Data Problem appeared first on Towards Data Science.
The 2026 Data Science Starter Kit: What to Learn First (And What to Ignore)
New to data science? Cut through the noise with the 2026 starter kit. Which Python, SQL, and machine learning essentials are important, and what can be ignored?
Anthropic Says AI is Not “Killing Jobs”, Shares New Way to Measure AI Job Impact
This is not another of those ‘AI is killing jobs’ reports. Anthropic, in a new research, seems to have asked the deeper questions this time. Its latest labour-market study asks what happens when we stop guessing which jobs AI could affect. What if we, instead, start measuring where it is actually sh...
MongoDB Compass: A Beginner-Friendly Guide to MongoDB’s Visual Interface
MongoDB is a widely used NoSQL database that stores data in flexible documents similar to JSON objects rather than traditional tables and rows. This document-based structure makes it easier to handle complex or frequently changing data, which is why MongoDB is commonly used in modern web application...
An Intuitive Guide to MCMC (Part I): The Metropolis-Hastings Algorithm
Tired of the AI hype? Let's talk about the probabilistic algorithms actually driving high-end quantitative finance.
The post An Intuitive Guide to MCMC (Part I): The Metropolis-Hastings Algorithm appeared first on Towards Data Science.
Spectral Clustering Explained: How Eigenvectors Reveal Complex Cluster Structures
Understanding why spectral clustering outperforms K-means
The post Spectral Clustering Explained: How Eigenvectors Reveal Complex Cluster Structures appeared first on Towards Data Science.