Towards Data Science

From simple chat to multi-agent reasoning and real-time REST APIs The post Production-Ready LLMs Made Simple with the NeMo Agent Toolkit appeared first on Towar...

Five key learnings that I discovered during a programming challenge and how they apply to data science The post What Advent of Code Has Taught Me About Data Sci...

Understanding retrieval in RAG systems by experimenting with different chunk sizes The post Chunk Size as an Experimental Variable in RAG Systems appeared first...

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...

With some hints for good numerics The post Overcoming Nonsmoothness and Control Chattering in Nonconvex Optimal Control Problems appeared first on Towards Data...

AUC measures how well a model ranks positives above negatives, independent of any chosen threshold. The post The Machine Learning “Advent Calendar” Bonus 1: AUC...

Towards understanding if your agentic solution is actually better The post Agents Under the Curve AUC appeared first on Towards Data Science....

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....

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 job...

How to make LLMs reason with verifiable, step-by-step logic Part 2 The post Implementing Vibe Proving with Reinforcement Learning appeared first on Towards Data...

Deep learning workloads are increasingly memory-bound, with GPU cores sitting idle while waiting for data transfers. FP8 precision solves this on newer hardware...

A practical guide to Hugging Face Transformers and to how you can analyze your resumé sentiment in seconds with AI The post Hugging Face Transformers in Action:...

Understanding the architecture, training pipeline and implementing TabPFN in practice The post Exploring TabPFN: A Foundation Model Built for Tabular Data appea...

Many AI systems focus on isolated tasks or simple prompt engineering. This approach allowed us to build interesting applications from a single prompt, but we ar...

A hands-on tour of using cProfile + SnakeViz to find and fix the 'hot' paths in your code. The post Think Your Python Code Is Slow? Stop Guessing and Start Meas...

A step-by-step guide from weather API ETL to dashboard on Databricks The post How to Build an AI-Powered Weather ETL Pipeline with Databricks and GPT-4o: From A...

An intuitive explanation of transforming random variables correctly. The post Keeping Probabilities Honest: The Jacobian Adjustment appeared first on Towards Da...

MAP and MRR look intuitive, but they quietly break ranking evaluation. Here’s why these metrics mislead—and how better alternatives fix it. The post Why MAP and...

An intuitive, step-by-step look at how Transformers use self-attention to turn static word embeddings into contextual representations, illustrated with simple e...

How cyclical encoding improves machine learning prediction The post Is Your Model Time-Blind? The Case for Cyclical Feature Encoding appeared first on Towards D...

Learn how to code more effectively using AI The post 4 Techniques to Optimize AI Coding Efficiency appeared first on Towards Data Science....

Multiple hypothesis testing, P-values, and Monte Carlo The post Bonferroni vs. Benjamini-Hochberg: Choosing Your P-Value Correction appeared first on Towards Da...

A step-by-step 1D CNN for text, built in Excel, where every filter, weight, and decision is fully visible. The post The Machine Learning “Advent Calendar” Day 2...

A step-by-step 1D CNN for text, built in Excel, where every filter, weight, and decision is fully visible. The post The Machine Learning “Advent Calendar” Day 2...