KDnuggets

[Invite] Learn how leading teams are governing production AI agents bit.ly/3QuC8YJ

The Math Skills Every Aspiring Data Scientist Needs to Master Before Writing a Single Line of Code kdnuggets.com/20206/06/deasi…

Register Today for Snowflake’s Dev Day Virtual - June 25 bit.ly/4guuSqg

Deeper Connectivity, Real Security; Your Data on Your Terms bit.ly/4w6uwe5

Register Today for Snowflake’s Dev Day Virtual - June 25 bit.ly/4guuSqg

ChatLLM by Abacus AI Review: A Multi-Model AI Workspace Built for Daily Work An in-depth review of ChatLLM by Abacus AI, covering supported AI models, AI agents, coding tools, integrations, pricing, usage limits, and how it compares to ChatGPT. kdnuggets.com/2026/06/abacus…

Easily Build AI-Ready Pipelines: Live Session 6/25 bit.ly/4eAwoES

This article is an honest account of the process on why I built a custom AI assistant instead of just paying for one, what the architecture looks like, the actual code, what broke, and what it does now that I genuinely ... kdnuggets.com/how-and-why-i-…

Why students default to complex models when simpler ones win, based on 1,000+ mentoring sessions.  #statology statology.org/why-students-r…

Learn Codex by building small and practical projects step by step. kdnuggets.com/5-fun-projects…

A step-by-step path through the skills that turn a machine learning practitioner into someone who ships large language model applications. kdnuggets.com/the-roadmap-to…

Three portfolio mistakes that keep technically strong data science candidates invisible to hiring managers.  #statology statology.org/what-titanic-i…

In this article, you will learn how to replace pandas loops with 7 faster methods for optimized data processing. kdnuggets.com/stop-writing-l…

In this article, we’ll build time-series machine learning models in Python using sktime and explore its core data structures for forecasting workflows. kdnuggets.com/building-time-…

In this article, we will walk through three essential Pandas tricks to clean and prepare your data efficiently: declarative method chaining, memory and speed optimization via categoricals and vectorized string accessors... kdnuggets.com/3-pandas-trick…

Local models in 2026 are good enough. For the tasks Claude Code handles daily: code completion, refactoring, debugging, codebase explanation; a well-chosen quantized model running locally covers the vast majority of rea... kdnuggets.com/pairing-claude…

In this article, we will cover three essential NumPy tricks to optimize your code: vectorization and broadcasting, in-place operations, and leveraging memory views instead of copies. kdnuggets.com/3-numpy-tricks…

New guide: Governance workflows for AI agents bit.ly/3Q8qN0h

Build the five components every feature store needs, then see where AI changes the design. kdnuggets.com/feature-stores…

Need money for your startup? These 7 funding options can help you get started, grow faster, and avoid common fundraising mistakes. kdnuggets.com/7-best-ways-to…