◎ Sonnet Radar

The geometric foundations you need to understand the dot product The post The Geometry Behind the Dot Product: Unit Vectors, Projections, and Intuition appeared first on Towards Data Science. ]]>

Learn how to apply coding agents in parallel to work more efficiently The post How to Run Claude Code Agents in Parallel appeared first on Towards Data Science. ]]>

We are living through a paradigm shift in how we prove we are who we say we are online. Instead of asking What do you know? (password, PIN, mother’s maiden name) or What do you look like? (Face ID, fingerprint) the question has become How do you behave? The post Behavior is the New Credential appeared first on Towards Data Science. ]]>

A new way to build vector RAG—structure-aware and reasoning-capable The post Proxy-Pointer RAG: Achieving Vectorless Accuracy at Vector RAG Scale and Cost appeared first on Towards Data Science. ]]>

Why it doesn’t fit my workflow but still makes sense for beginners The post A Data Scientist’s Take on the $599 MacBook Neo appeared first on Towards Data Science. ]]>

Using modern tooling to identify defects earlier in the software lifecycle. The post Building a Python Workflow That Catches Bugs Before Production appeared first on Towards Data Science. ]]>

A Practical Guide to Measuring Relationships between Variables for Feature Selection in a Credit Scoring. The post Building Robust Credit Scoring Models with Python appeared first on Towards Data Science. ]]>

When we try to train a very deep neural network model, one issue that we might encounter is the vanishing gradient problem. This is essentially a problem where the weight update of a model during training slows down or even stops, hence causing the model not to improve. When a network is very deep, the […] The post DenseNet Paper Walkthrough: All Connected appeared first on Towards Data Science. ]]>

Persistent AI memory without embeddings, Pinecone, or a PhD in similarity search. The post I Replaced Vector DBs with Google’s Memory Agent Pattern for my notes in Obsidian appeared first on Towards Data Science. ]]>

The Vector View of Least Squares. The post Linear Regression Is Actually a Projection Problem (Part 2: From Projections to Predictions) appeared first on Towards Data Science. ]]>

Workflows and encoding techniques in quantum machine learning The post How to Handle Classical Data in Quantum Models appeared first on Towards Data Science. ]]>

Run Quantum Experiments with Qiskit-Aer The post Quantum Simulations with Python appeared first on Towards Data Science. ]]>

A systems design diagnosis of hallucination, corrigibility, and the structural gap that scaling cannot close The post The Inversion Error: Why Safe AGI Requires an Enactive Floor and State-Space Reversibility appeared first on Towards Data Science. ]]>

Why thinking longer can matter more than being bigger The post How Can A Model 10,000× Smaller Outsmart ChatGPT? appeared first on Towards Data Science. ]]>

How I am adapting in my career in the age of AI, automation, and when everything moving faster than expected. The post What Happens Now That AI is the First Analyst On Your Team? appeared first on Towards Data Science. ]]>

Learn why embedding models are like a GPS for meaning. Instead of searching for exact words, it navigates a "Map of Ideas" to find concepts that share the same vibe. From battery types to soda flavors, learn how to fine-tune these digital fingerprints for pinpoint accuracy in your next AI project. The post The Map of Meaning: How Embedding Models “Understand” Human Language appeared first on Towards Data Science. ]]>

Make your coding agent more efficient The post How to Make Claude Code Better at One-Shotting Implementations appeared first on Towards Data Science. ]]>

I’ve been so surprised by how fast individual builders can now ship real and useful prototypes. Tools like Claude Code, Google AntiGravity, and the growing ecosystem around them have crossed a threshold: you can inspect what others are building online and realize just how fast you can build today. Over the past weeks, I’ve started […] The post Building a Personal AI Agent in a couple of Hours appeared first on Towards Data Science. ]]>

What I learned about data wrangling, segmentation, and storytelling while building an application security report from scratch The post Turning 127 Million Data Points Into an Industry Report appeared first on Towards Data Science. ]]>

What is p hacking, is it bad, and can you get ai to do it for you? The post How to Lie with Statistics with your Robot Best Friend appeared first on Towards Data Science. ]]>