KDnuggets.com

KDnuggets™ is a prominent platform focused on Business Analytics, Big Data, Data Mining, Data Science, and Machine Learning. The site is curated by Gregory Piatetsky-Shapiro (you can reach him at editor1 at kdnuggets) and Matthew Mayo (contact him at mattmayo at kdnuggets). This publication has earned over 50 accolades and recognitions for its excellence, including: - Listed among the 20 Data Industry Experts You Should Follow on Twitter by Churchill Frank in October 2017. - Recognized as one of the Top 10 Most Influential Brands in Big Data by Onalytica in May 2017. - Ranked No. 3 in Feedspot's Top 75 Data Science Blogs in January 2017. - Achieved the No. 1 spot in Agilience’s Top Authorities in Machine Learning in November 2016. - Topped Agilience’s rankings as the No. 1 Authority for Data Mining and No. 2 for Data Science in November 2016. - Placed No. 3 in Onalytica’s AI Intelligence & Machine Learning: Top 100 Influencers and Brands in March 2016. - Ranked No. 4 in Onalytica’s Big Data 2016: Top 100 Influencers in February 2016. - Included in InformationWeek's Twitter Top 10 Data Science, Analytics, and BI Feeds, alongside IBM Big Data & Analytics Heroes. - Featured in the top 30 People in Big Data and Analytics by Innovation Enterprise. - Highlighted in INFORMS for its contributions to the Analytics and Big Data fields. - Listed among 7 Business Analytics Gurus on Twitter by Information Management. - Voted as the Best Big Data Tweeter by Big Data Republic. - Featured in Forbes as one of the Top Influencers in Big Data.

Trade/B2B, Consumer

English

Online/Digital

Outlet metrics

Domain Authority

Ranking

Global

#61449

India

#12925

Computers Electronics and Technology/Programming and Developer Software

#483

Traffic sources

Monthly visitors

Articles

Data Science, No Degree

1 week ago | kdnuggets.com | Nisha Arya Ahmed

An honest breakdown of the ups and downs I went through to get into the tech industry and top tips to learn from my mistakes. Everyone and their dogs are trying to enter the tech industry, whether by learning to program, entering product management, or some other direction. I am pretty new to the tech industry, with only 5 years of experience, but as I speak to more individuals, some are worried about getting their foot in the door due to the lack of high-level education.
Top 5 Frameworks for Distributed Machine Learning

1 week ago | kdnuggets.com | Abid Ali Awan

Use these frameworks to optimize memory and compute resources, scale your machine learning workflow, speed up your processes, and reduce the overall cost. Distributed machine learning (DML) frameworks enable you to train machine learning models across multiple machines (using CPUs, GPUs, or TPUs), significantly reducing training time while efficiently handling large and complex workloads that wouldn’t fit into memory otherwise.
10 GitHub Repositories to Master Web Development in 2025

1 week ago | kdnuggets.com | Abid Ali Awan

Web development remains one of the most popular and in-demand professions, and it will continue to thrive even in a post-AI world. Web development is a fusion of creativity and technical expertise, combining UI elements, HTML, CSS, JavaScript, databases, APIs, and server-side technologies to create seamless and functional web applications. In this article, we will look at 10 GitHub repositories that are essential for learning and mastering web development.
Deploying the Magistral vLLM Server on Modal

1 week ago | kdnuggets.com | Abid Ali Awan

I was first introduced to Modal while participating in a Hugging Face Hackathon, and I was genuinely surprised by how easy it was to use. The platform allows you to build and deploy applications within minutes, offering a seamless experience similar to BentoCloud. With Modal, you can configure your Python app, including system requirements like GPUs, Docker images, and Python dependencies, and then deploy it to the cloud with a single command.
Automatically Build AI Workflows with Magical AI

1 week ago | kdnuggets.com | Josep María Ferrer

Find out how to streamline tasks, save time, and boost productivity with a no-code AI assistant. Tired of repetitive tasks and constant copy-pasting between apps? I’m pretty sure we all are. Fret not! In the era of AI, we no longer have to. Solutions to this problem abound, and today we will look at one of those solutions. And it is called Magical AI. This browser-based AI assistant automates everything from form-filling to message creation, without needing complex integrations.
Automating GitHub Workflows with Claude 4

2 weeks ago | kdnuggets.com | Abid Ali Awan

Learn how to set up the Claude App in your GitHub repository and invoke it directly through comments. Claude Opus 4 is Anthropic's most advanced and powerful AI model to date, setting a new benchmark for coding, reasoning, and long-running tasks. It can autonomously handle complex, multi-hour tasks, maintaining focus and delivering exceptional results over thousands of steps.
Top 7 MCP Clients for AI Tooling

2 weeks ago | kdnuggets.com | Abid Ali Awan

The most popular clients that seamlessly and reliably work with MCP servers ranging from IDEs to chatbots and plugins. MCPs (Model Context Protocols) are quickly becoming the backbone of modern AI tooling. Big names like Hugging Face and Meta are now running hackathons where participants build MCP servers, clients, and plugins, showing just how hot this space is right now. So, what exactly is an MCP server and client?
Integrating DuckDB & Python: An Analytics Guide

2 weeks ago | kdnuggets.com | Josep María Ferrer

Learn how to run lightning-fast SQL queries on local files with ease. DuckDB is a fast, in-process analytical database designed for modern data analysis. It runs directly from your Python script, which means that there is no separate server needed, and it excels at complex queries thanks to its columnar storage and vectorized execution. As understanding how to deal with data is becoming more important, today I want to show you how to build a Python workflow with DuckDB and explore its key features.
Run the Full DeepSeek-R1-0528 Model Locally

2 weeks ago | kdnuggets.com | Abid Ali Awan

DeepSeek-R1-0528 is the latest update to DeepSeek's R1 reasoning model that requires 715GB of disk space, making it one of the largest open-source models available. However, thanks to advanced quantization techniques from Unsloth, the model's size can be reduced to 162GB, an 80% reduction. This allows users to experience the full power of the model with significantly lower hardware requirements, albeit with a slight trade-off in performance.
Mixedbread Cloud: A Unified API for RAG Pipelines

3 weeks ago | kdnuggets.com | Abid Ali Awan

During a talk with some machine learning engineers, I asked why we need to combine LangChain with multiple APIs and services to set up a retrieval augmented generation (RAG) pipeline. Why can't we have one API that handles everything — like document loading, parsing, embedding, reranking models, and vector storage — all in one place? It turns out, there is a solution called Mixedbread. This platform is fast, user-friendly, and provides tools for building and serving retrieval pipelines.