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Towards Data Science

Your home for data science and AI. The world’s leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals.

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News

Towards Data Science
towardsdatascience.com > loop-engineering-for-rag-the-small-loops-inside-each-step-the-big-loops-across-the-pipeline

Loop Engineering for RAG: The Small Loops Inside Each Step, the Big Loops Across the Pipeline

4+ week, 3+ hour ago   (1680+ words) A one-shot pipeline commits to its first try: parse once, retrieve once, generate once, return whatever comes out. When retrieval comes back empty or the answer is half-formed, there is no second chance. A loop gives the pipeline one: notice…...

Towards Data Science
towardsdatascience.com > context-engineering-is-changing-heres-what-it-means-for-data-scientists

Context Engineering Is Changing. Here???s What It Means for Data Scientists

2+ week, 18+ hour ago   (1470+ words) How to apply the latest context engineering guidelines to your day-to-day data science work There are so many positive sides that come with using systems like Claude; all the repetitive, routine coding gets automated, researching is quicker, and debugging becomes…...

Towards Data Science
towardsdatascience.com > 4-claude-skills-every-data-scientist-needs-in-2026

4 Claude Skills Every Data Scientist Needs in 2026

2+ week, 1+ day ago   (1306+ words) Blueconic sets this cookie as a unique identifier for the BlueConic profile. Four skills worth adding to your workflow today if you don't want to be left behind A couple months ago I wrote about 3 Claude skills every data scientist…...

Towards Data Science
towardsdatascience.com > why-we-fine-tuned-siglip-and-why-thats-not-always-the-right-call

Why We Fine-Tuned SigLip (And Why That???s Not Always the Right Call)

3+ week, 2+ day ago   (833+ words) LoRA fine-tuning solved our under-labeling problem. Whether it makes sense for you depends on three questions. Image classifiers can be built in many ways. The modern default approach is to run images through a third-party API which internally uses a…...

Towards Data Science
towardsdatascience.com > estimating-from-no-data-deriving-a-continuous-score-from-categories-2

Estimating from No Data: Deriving a Continuous Score from Categories

3+ week, 2+ day ago   (938+ words) A walkthrough of and the maths behind using low-capacity networks to acquire fine-grained scoring when only categorical labelling is available for training To be able to illustrate the work, I developed a toy example, which is a non-linear but deterministic…...