📰 KDnuggets

Discover three post-hoc methods for closing the gap between confidence and accuracy.

In this article, we will explore three essential spaCy tricks that every developer should have in their toolkit to maximize processing speed and customize entit

Learn how AI agents are reshaping data science workflows and which skills practitioners need in 2026.

This article breaks down 7 key steps to help you analyze and forecast time series data with Python.

Learn how to write, append, and save text, CSV, and JSON files in Python using native file handling tools that work out of the box.

Want to understand LLMs better? Start with these five foundational papers that explain how they work.

This article discusses LLM explainability and outlines the advances, trends, and ongoing developments in this important field of study.

Explore 10 top open-source GitHub repositories for modern databases, analytics, SQL, caching, monitoring, replication, PostgreSQL, SQLite, and AI agent memory.

In this guide, you will learn the process of generating a year's worth of daily temperature readings, mimicking a seasonal curve that looks like real — al

In this article, we will dive deep into five must-know Python concepts that will help you transition from writing clunky, slow spaghetti code to constructing li

This tutorial covers three NLP tasks: text classification, zero-shot labelling, and question answering using Transformers.js's pipeline() API.

This article shows how to use free, open-source tools like Python and its Textstat library to build a script that automates the process of capturing "gatekeepin

In this article, we will go deep under the hood of Ollama's configuration engine, exploring how to fine-tune local language model parameters.

Explore seven practical AI projects that automate real workflows, including job search, web research, investment research, market trend analysis, invoice proces

Learn how to use Pandas GroupBy to summarize, compare, and analyze grouped data with simple, practical examples.

In this article, we will take a look under the hood of scipy.stats, exploring five essential tricks to design high-performance, rigorous simulations using only

In this article, we cover three topics: what to visualize during training, the tools that provide those visualizations, and the methods to capture model computa

This article covers Python libraries that make large-scale data processing faster, more scalable, and easier to manage across modern data workflows.

Learn how to use Mimesis library to generate a balanced, counterfactual dataset that helps analyze potential bias in your models.

Let's take a look at five more fundamental concepts that every Python developer should have in their toolkit.

In this tutorial, we will give Gemma 4 two new tools and watch the model decide, on its own, when to look around and when to compute.

Ace system design interviews with 10 GitHub repositories packed with fundamentals, proven patterns, and real questions to help you design scalable systems with

Take a curated look at the best small language models currently available on Hugging Face, what each one is actually good at, the benchmark numbers that back th

Learn how to utilize Python's Mimesis library for anonymizing sensitive production data, based on a step-by-step example to try yourself.