What Advent of Code Has Taught Me About Data Science
Five key learnings that I discovered during a programming challenge and how they apply to data science The post What…
Category: General
SweetDream Chatbot Access, Pricing, and Feature Overview
Built to support open-ended interaction, SweetDream operates without the rigid moderation and scripted behavior seen in many popular chatbots. Conversations…
Chunk Size as an Experimental Variable in RAG Systems
Understanding retrieval in RAG systems by experimenting with different chunk sizes The post Chunk Size as an Experimental Variable in…
Overcoming Nonsmoothness and Control Chattering in Nonconvex Optimal Control Problems
With some hints for good numerics The post Overcoming Nonsmoothness and Control Chattering in Nonconvex Optimal Control Problems appeared first…
The Machine Learning “Advent Calendar” Bonus 1: AUC in Excel
AUC measures how well a model ranks positives above negatives, independent of any chosen threshold. The post The Machine Learning…
Soulkyn Chatbot Review: Pricing Options and Functional Scope
Soulkyn is an AI chatbot intended for open dialogue, avoiding the strict filters and preset replies common in mainstream assistants. Its…
Agents Under the Curve (AUC)
Towards understanding if your agentic solution is actually better The post Agents Under the Curve (AUC) appeared first on Towards…
How AI and EMA Are Changing Financial Market Analysis
Artificial intelligence is no longer a fiction; it is a powerful technology reshaping everything from programming to finance. Nowadays, traders…
How to Facilitate Effective AI Programming
How to ensure your coding agent has the same context as you The post How to Facilitate Effective AI Programming…
LusyChat Chatbot Review: Key Features & Pricing
LusyChat positions itself as a chatbot designed for users who prefer conversations that feel less constrained by rules and more…
Machine Learning vs AI Engineer: What Are the Differences?
One of the most confusing questions in tech right now is: What is the difference between an AI engineer and…
Implementing Vibe Proving with Reinforcement Learning
How to make LLMs reason with verifiable, step-by-step logic (Part 2) The post Implementing Vibe Proving with Reinforcement Learning appeared…
Breaking the Hardware Barrier: Software FP8 for Older GPUs
Deep learning workloads are increasingly memory-bound, with GPU cores sitting idle while waiting for data transfers. FP8 precision solves this…
Hugging Face Transformers in Action: Learning How To Leverage AI for NLP
A practical guide to Hugging Face Transformers and to how you can analyze your resumé sentiment in seconds with AI…
Exploring TabPFN: A Foundation Model Built for Tabular Data
Understanding the architecture, training pipeline and implementing TabPFN in practice The post Exploring TabPFN: A Foundation Model Built for Tabular Data appeared…
CraveU Chatbot Review: Pricing Options and Functional Scope
Starting a conversation with CraveU feels closer to an ongoing dialogue than a traditional request-based system, giving users room to…
How IntelliNode Automates Complex Workflows with Vibe Agents
Many AI systems focus on isolated tasks or simple prompt engineering. This approach allowed us to build interesting applications from…
Think Your Python Code Is Slow? Stop Guessing and Start Measuring
A hands-on tour of using cProfile + SnakeViz to find (and fix) the “hot” paths in your code. The post…
DarLink Image Generator Review: Pricing Structure and Key Features
DarLink is intended for users who treat AI image generation as an individual process of exploration rather than a structured…
How to Build an AI-Powered Weather ETL Pipeline with Databricks and GPT-4o: From API To Dashboard
A step-by-step guide from weather API ETL to dashboard on Databricks The post How to Build an AI-Powered Weather ETL…
Keeping Probabilities Honest: The Jacobian Adjustment
An intuitive explanation of transforming random variables correctly. The post Keeping Probabilities Honest: The Jacobian Adjustment appeared first on Towards…
Why MAP and MRR Fail for Search Ranking (and What to Use Instead)
MAP and MRR look intuitive, but they quietly break ranking evaluation. Here’s why these metrics mislead—and how better alternatives fix…
The Machine Learning “Advent Calendar” Day 24: Transformers for Text in Excel
An intuitive, step-by-step look at how Transformers use self-attention to turn static word embeddings into contextual representations, illustrated with simple…
Is Your Model Time-Blind? The Case for Cyclical Feature Encoding
How cyclical encoding improves machine learning prediction The post Is Your Model Time-Blind? The Case for Cyclical Feature Encoding appeared…
4 Techniques to Optimize AI Coding Efficiency
Learn how to code more effectively using AI The post 4 Techniques to Optimize AI Coding Efficiency appeared first on…
Get Honey Image Generator Pricing & Features Overview
Get Honey is an AI-powered image generator developed for users who want fewer creative limitations, allowing visual concepts to be…
Bonferroni vs. Benjamini-Hochberg: Choosing Your P-Value Correction
Multiple hypothesis testing, P-values, and Monte Carlo The post Bonferroni vs. Benjamini-Hochberg: Choosing Your P-Value Correction appeared first on Towards…
The Machine Learning “Advent Calendar” Day 23: CNN in Excel
A step-by-step 1D CNN for text, built in Excel, where every filter, weight, and decision is fully visible. The post…
Google’s year in review: 8 areas with research breakthroughs in 2025
Google 2025 recap: Research breakthroughs of the year
How Agents Plan Tasks with To-Do Lists
Understanding the process behind agentic planning and task management in LangChain The post How Agents Plan Tasks with To-Do Lists…
Stop Retraining Blindly: Use PSI to Build a Smarter Monitoring Pipeline
A data scientist’s guide to population stability index (PSI) The post Stop Retraining Blindly: Use PSI to Build a Smarter…
Synergy in Clicks: Harsanyi Dividends for E-Commerce
A brief overview of the math behind the Harsanyi Dividend and a real-world application in Streamlit The post Synergy in…
The Machine Learning “Advent Calendar” Day 22: Embeddings in Excel
Understanding text embeddings through simple models and Excel The post The Machine Learning “Advent Calendar” Day 22: Embeddings in Excel…
MIT in the media: 2025 in review
“At MIT, innovation ranges from awe-inspiring technology to down-to-Earth creativity,” noted Chronicle, during a campus visit this year for an episode…
ChatLLM Presents a Streamlined Solution to Addressing the Real Bottleneck in AI
For the last couple of years, a lot of the conversation around AI has revolved around a single, deceptively simple…
The Geometry of Laziness: What Angles Reveal About AI Hallucinations
A story about failing forward, spheres you can’t visualize, and why sometimes the math knows things before we do The…
Understanding Vibe Proving
How to make LLMs reason with verifiable, step-by-step logic (Part 1) The post Understanding Vibe Proving appeared first on Towards…
What Happens When You Build an LLM Using Only 1s and 0s
An LLM that’s 41× more efficient and 9× faster than today’s standard models The post What Happens When You Build…
How to Do Evals on a Bloated RAG Pipeline
Comparing metrics across datasets and models The post How to Do Evals on a Bloated RAG Pipeline appeared first on Towards Data…
Tools for Your LLM: a Deep Dive into MCP
MCP is a key enabler into turning your LLM into an agent by providing it with tools to retrieve real-time…
Understanding the Generative AI User
What do regular technology users think (and know) about AI? The post Understanding the Generative AI User appeared first on Towards Data…
EDA in Public (Part 2): Product Deep Dive & Time-Series Analysis in Pandas
Learn how to analyze product performance, extract time-series features, and uncover key seasonal trends in your sales data. The post EDA…
The Machine Learning “Advent Calendar” Day 19: Bagging in Excel
Understanding ensemble learning from first principles in Excel The post The Machine Learning “Advent Calendar” Day 19: Bagging in Excel…
Agentic AI Swarm Optimization using Artificial Bee Colonization (ABC)
Using Agentic AI prompts with the Artificial Bee Colony algorithm to enhance unsupervised clustering and optimization workflows. The post Agentic…
Six Lessons Learned Building RAG Systems in Production
Best practices for data quality, retrieval design, and evaluation in production RAG systems The post Six Lessons Learned Building RAG…
Guided learning lets “untrainable” neural networks realize their potential
Even networks long considered “untrainable” can learn effectively with a bit of a helping hand. Researchers at MIT’s Computer Science…
The Machine Learning “Advent Calendar” Day 18: Neural Network Classifier in Excel
Here is a **short, clear excerpt**, written in your style and suitable for Medium or Towards Data Science: — Neural…
4 Ways to Supercharge Your Data Science Workflow with Google AI Studio
With concrete examples of using AI Studio Build mode to learn faster, prototype smarter, communicate clearer, and automate quicker. The…
The Subset Sum Problem Solved in Linear Time for Dense Enough Inputs
An optimal solution to the well-known NP-complete problem, when the input values are close enough to each other. The post…
Generating Artwork in Python Inspired by Hirst’s Million-Dollar Spots Painting
Using Python to generate art The post Generating Artwork in Python Inspired by Hirst’s Million-Dollar Spots Painting appeared first on…