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KDnuggets
08.10.2025
How to speed up exploratory data analysis with Python’s automated tools and get 80% of the insights in 20% of the time.
The good news is that recognizing these red flags early can cut your attack costs in half. Prevention beats recovery every time.
Why being "bad at math" won't stop you from succeeding in this field.
07.10.2025
A hands-on guide to tracking experiments, versioning models, and keeping your ML projects reproducible with Weights & Biases.
No recruiters contacted you recently? Here are 7 LinkedIn tricks to make you stand out.
Why every Python developer should give TypeScript a serious look (and how to get productive fast)
04.10.2025
Build these AI agents that actually do useful work (and teach you a bunch).
This article critically explores both perspectives, weighing the benefits, drawbacks, and future potential of Study Mode to determine whether it lives up to the hype.
03.10.2025
Let's look at three feature selection techniques and see which one worked best.
Get a gentle introduction to the standard that defines how artificial intelligence systems connect with the outside world.
02.10.2025
In this article, we're going to break down cross-validation in plain English, provide reasons why it is more reliable than the hold-out method, and demonstrate how to use it with basic code and images.
How can you move from Excel to Python? Follow these 7 steps to make your transition smooth.
In this article, we will explore how to use Qwen Code in practice.
01.10.2025
Understand how useful in working with the metaclasses in Python.
Here's why you should not quit your full-time data science job for high-paying side hustles.
30.09.2025
Want to learn Python for data science? Start today with this beginner-friendly mini-course packed with bite-sized lessons and hands-on examples.
We've assembled our team of Algorithmic X-Men, seven heroes mapped to seven dependable workhorses of machine learning.
27.09.2025
In this article we will take a look at what Nano Banana excels at, some tips and tricks for using the model, and lay out a series of example prompts and promoting strategies for getting the most out of using it.
Build and serve your own end-to-end machine learning app with Django, from training the model to creating web forms and APIs, all in one tutorial.
26.09.2025
Build once, run anywhere — deploy your app with Docker and Docker Hub.
Tackle everyday data engineering tasks with just one line of Python. Fast to write, easy to read, and surprisingly useful.
So, what is big tech's influence on ai development? It is both transformative and concerning.
25.09.2025
In this article, we discuss five cutting-edge NLP trends that will shape 2026.
In this article, we look at five revelations from the paper "Why Do Language Models Hallucinate?"
This is a simple guide to turning Python scripts into easy-to-use command-line tools.
24.09.2025
A quick look at 7 Python libraries that help analytics engineers clean, transform, and analyze data effectively.
This article highlights ten of the best free newsletters for data scientists, covering everything from hands-on tutorials and statistical guides to industry news, AI breakthroughs, and career advice.
23.09.2025
Generate Synthetic Data and Build a Machine Learning Portfolio Project with AI
Learn how to use Microsoft’s open-source text-to-speech model for advanced conversational AI on Google Colab, with step-by-step setup and troubleshooting for common inference issues.
In this article, we present 10 powerful Python one-liners that will help you optimize your Hugging Face pipeline() workflows.
21.09.2025
Explore these free APIs to access real-time, high-quality datasets, ranging from geospatial information to social media conversations.
Polars is a lightning-fast DataFrame library, perfect for quick, scalable data analysis. This guide covers the basics to get you started.
19.09.2025
Let's take a look at how vLLM streamlines the process of serving large language models by making it faster and easier to integrate with existing machine learning workflows.
This article will explore five different tips to help you build useful Streamlit dashboards in minutes.
18.09.2025
To turn AI from pilots into impact: define the problem, fix your data, upskill people, start small and scale, and bake in responsible AI.
How to build an orchestration workflow to prototype a RAG system that uses Airtable text databases as the knowledge base for retrieval, and OpenAI's GPT models for response generation.
In this article, we explore some of the best local coding LLMs that fit into local workflows and highlight why they stand out from the rest.
17.09.2025
Explore leading web search APIs for agentic AI, offering real-time, high-accuracy SERP results, RAG readiness, low latency, and scalability; with Python quickstarts and free tiers for seamless integration.
No design skills? No problem. Google Stitch turns your simple text prompts into ready-to-use UIs in minutes.