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KDnuggets
26.04.2025
Ready to level up your data engineering game without wasting hours on setup? From ingestion to orchestration, these Docker containers handle it all.
25.04.2025
Key insights, tips, and best practices to help you future-proof your machine learning career in the direction that best resonates with you.
24.04.2025
Many organisations look at your LinkedIn before getting that initial call back. Therefore, you need to ensure it is optimised.
A step-by-step guide to speed up the model inference by caching requests and generating fast responses.
23.04.2025
This article will explore the AI tool you can use to build personal knowledge management locally.
Starting freelancing can feel overwhelming, but mastering specialized, high-paying skills can help you stand out in competitive markets and secure better opportunities.
Looking to expand your programming toolkit? This guide aims to help Python developers quickly get going with Go.
22.04.2025
Are you interested in enhancing your machine learning skills? We have put together an outstanding list of free machine learning books to aid your learning journey!
Automating text data cleaning in Python makes it easy to fix messy data by removing errors and organizing it. In just 5 simple steps, you can quickly turn raw text into clean, ready-to-analyze data.
Enhance language models with real-time document retrieval and dynamic knowledge integration using retrieval-augmented generation and LlamaIndex.
19.04.2025
Try these MCP servers with Claude Desktop today for free.
18.04.2025
Use AI to control Spotify playback, search for songs, and manage your queue for a personalized experience.
These oddball Python functions might seem pointless—until you realize how surprisingly useful they really are.
From idea to prototype in seconds — OpenUI lets you build, edit, and export UIs using just natural language. No design skills required!
17.04.2025
CTEs and subqueries are often seen as the same thing, written slightly differently. That’s far from the truth. Let’s examine their differences, find a winner, and end this debate about which one is better.
Learn how to build faster, leaner, and more secure Python containers with these efficient Dockerfile strategies.
16.04.2025
AI Con USA, the premier event for artificial intelligence and machine learning professionals, is set to take place from June 8–13, 2025.
Forget Alexa — now you can build your own real-time AI voice assistant in just minutes!
Exploratory Data Analysis (EDA) is an important step when working with any dataset. Let's explore some useful pandas one-liners that can help you quickly understand your data.
15.04.2025
Effective data cleaning ensures accurate analysis. Discover Python tips to handle missing values, outliers, and inconsistencies with ease.
Are you looking to boost your data science skills? We've compiled an excellent list of free data science books to support your learning journey
The developer-friendly APIs provide free and easy access to Gemini 2.5 Pro for advanced multimodal AI tasks and content generation.
12.04.2025
Give your LLMs the extra ability to fetch live stock prices, compare them, and provide historical analysis by implementation tools within the MCP Server.
11.04.2025
In this article, we’ll explore what a transformer is, how it originated, why it became so successful that it powered one of the most groundbreaking AI advances, the large language model.
In this article, we’ll explain how to use mind maps within NotebookLM to enhance your productivity and comprehension.
10.04.2025
Explore how you can remotely access local LLMs.
Tired of dragging messy data through bloated tools? This handbook shows how to clean and transform datasets with Bash.
09.04.2025
Clean up your resume and land your dream job this 2025
Implement a RAG system using this recipe with Gemini and ChromaDB.
From the unveiling of the Rubin AI chips to what the next multi-trillion dollar industry is.
08.04.2025
Experience the state-of-the-art AI models in seconds, effortlessly, and hassle-free.
Doing data science projects can be demanding, but it doesn’t mean it has to be boring. Here are four projects to introduce more fun to your learning and stand out from the masses.
The Must-Learn Data Science Skill to Land a Job at Big Tech
05.04.2025
Are you a self-learner wanting to break into one of the top 5 data science career paths? If yes, this article is for you.
Looking to add regular expressions to your data science toolbox? Learn regex with Python from the ground up with this guide.
04.04.2025
See how to improve the NumPy execution process by identifying the problems in our code.
Your essential guide to the difference between training and inference.
03.04.2025
Let's discover what small language models (SLMs) are, how they can be used in RAG systems and applications, and when to use them over their large language counterparts.
Go beyond the basics by adding these cool and useful Python functions to your programming toolbox.
Learn cloud computing concepts, tools, and best practices through free, community-driven content on GitHub.