YOLOv1 Loss Function Walkthrough: Regression for All
An explanation of how YOLOv1 measures the correctness of its object detection and classification predictions
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How to Filter for Dates, Including or Excluding Future Dates, in Semantic Models
It is common to have either planning data or the previous year's data displayed beyond today's date. But future data can be confusing. How can I add a Slicer to show or hide future data? Let’s see how to do it.
The post How to Filter for Dates, Including or Excluding Future Dates, in Semantic Models...
Check the tools your LLM uses before replacing it with just a more powerful model
The post How to Keep MCPs Useful in Agentic Pipelines appeared first on Towards Data Science.
The Real Challenge in Data Storytelling: Getting Buy-In for Simplicity
What happens when your clear dashboard meets stakeholders who want everything on one screen
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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
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Chunk Size as an Experimental Variable in RAG Systems
Understanding retrieval in RAG systems by experimenting with different chunk sizes
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The Machine Learning “Advent Calendar” Bonus 2: Gradient Descent Variants in Excel
Gradient Descent, Momentum, RMSProp, and Adam all aim for the same minimum. They do not change the destination, only the path. Each method adds a mechanism that fixes a limitation of the previous one, making the movement faster, more stable, or more adaptive. The goal stays the same. The update beco...
Overcoming Nonsmoothness and Control Chattering in Nonconvex Optimal Control Problems
With some hints for good numerics
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How to ensure your coding agent has the same context as you
The post How to Facilitate Effective AI Programming appeared first on Towards Data Science.
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 a machine learning engineer? Both are six-figure jobs, but if you choose the wrong one, you could waste months of your career learning the wrong skills and miss out on quality roles. As a prac...
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 on newer hardware, but what about the millions of RTX 30 and 20 series GPUs already deployed? Feather demonstrates that software-based FP8 emulation through ...
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
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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.
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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
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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 it.
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Bonferroni vs. Benjamini-Hochberg: Choosing Your P-Value Correction
Multiple hypothesis testing, P-values, and Monte Carlo
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The Machine Learning “Advent Calendar” Day 21: Gradient Boosted Decision Tree Regressor in Excel
Gradient descent in function space with decision trees
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The Machine Learning “Advent Calendar” Day 20: Gradient Boosted Linear Regression in Excel
From Random Ensembles to Optimization: Gradient Boosting Explained
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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
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