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

#74231

India

#16372

Computers Electronics and Technology/Programming and Developer Software

#591

Traffic sources

Monthly visitors

Articles

10 Awesome MCP Servers

6 days ago | kdnuggets.com | Abid Ali Awan

Try these MCP servers with Claude Desktop today for free. I just discovered the hype around MCP (Model Context Protocol) servers and decided to experience it for myself to see how amazing they really are. I tried the Spotify MCP server and used it with Claude Desktop—and it completely blew my mind! I am so obsessed now that I have started exploring other MCP servers. So, here is my list of top 10 MCP servers that anyone can use for work, personal projects, or just to marvel at how far AI has come.
Control Your Spotify Playlist with an MCP Server

1 week ago | kdnuggets.com | Abid Ali Awan

Image by AuthorDo you ever feel like Spotify doesn’t understand your mood or keeps playing the same old songs? What if I told you that you could talk to your Spotify, ask it to play songs based on your mood, and even create a queue of songs that truly resonate with you? In this tutorial, we will integrate a Spotify MCP server with the Claude Desktop application.
3 APIs to Access Gemini 2.5 Pro

1 week ago | kdnuggets.com | Abid Ali Awan

Image by AuthorThe Gemini 2.5 Pro model, developed by Google, is a state-of-the-art generative AI designed for advanced multimodal content generation, including text, images, and more. In this article, we will explore three APIs that allow free access to Gemini 2.5 Pro, complete with example code and a breakdown of the key features each API offers. 1.
Building A Simple MCP Server

1 week ago | kdnuggets.com | Abid Ali Awan

Give your LLMs the extra ability to fetch live stock prices, compare them, and provide historical analysis by implementation tools within the MCP Server. MCP, or Model Context Protocol, is a groundbreaking framework that is rapidly gaining traction in the AI and large language model (LLM) community. It acts as a universal connector for AI systems, enabling seamless integration with external resources, APIs, and services.
NVIDIA GTC 2025: What Happened at the Super Bowl of AI

2 weeks ago | kdnuggets.com | Nisha Arya Ahmed

From the unveiling of the Rubin AI chips to what the next multi-trillion dollar industry is. San Jose was busy. Road closures, extortionate Uber prices, queues to get into the elevator. All for one reason — the biggest AI event of the year: NVIDIA GTC (GPU Technology Conference). NVIDIA founder Jensen Huang kicked off his infamous keynote by shooting a t-shirt gun before he referred to the GTC event as the Super Bowl of AI.
2 Simple But Frequently Used Red Flags to Avoid on Your Resume

2 weeks ago | kdnuggets.com | Nisha Arya Ahmed

In this article, we will go through 2 simple but effective tips on how you can optimise your resume. Finding a job in today's economy seems like a chore that gets more difficult by the day. Companies are making cuts, there is not enough money circulating, and competition for tech roles is increasing. When you’re in the job hunting phase, many people freshen up their resume with their most recent roles, change their old number to their current number, and call it a day.
3 Ways to Access Llama 4 for Free

2 weeks ago | kdnuggets.com | Abid Ali Awan

Meta has introduced a new series of Llama 4 models that are breaking benchmarks left and right. Currently, the Llama 4 Scout and Maverick variants are available for developers with open weights. This means anyone can download the models and start using them on their own machines. The real issue is that these models are enormous, with the smallest, Llama 4 Scout, containing 109 billion total parameters. This means that even the quantized versions of the models cannot be run on local machines.
Training vs Inference: The Ultimate Alliance

3 weeks ago | kdnuggets.com | Nisha Arya Ahmed

We are seeing more and more organisations release their inference services. The AI landscape has become overwhelming, and it can be one thing on top of another that you need to be knowledgeable about. There is a lot of hype around generative AI, and although it would be ideal to throw in a text prompt and have your output be perfect to the T, it’s not as easy as that. In this article, I will discuss the two processes of Generative AI: training and inference. What is the Training Process?
10 GitHub Repositories to Master Cloud Computing

3 weeks ago | kdnuggets.com | Abid Ali Awan

Cloud computing is no longer limited to just VPS (Virtual Private Servers) or storage providers — it has evolved into so much more. Today, we use cloud computing for automation, website deployments, application development, machine learning, data engineering, integrating managed services, and countless other use cases.
7 GitHub Projects to Master Machine Learning

3 weeks ago | kdnuggets.com | Abid Ali Awan

Machine learning operations, commonly referred to as MLOps, is a vast field that can sometimes feel overwhelming. However, it is the only field that is likely to thrive in a post-AI world, as we still need to deploy AI models into production. To help you navigate your learning journey, I have ranked seven GitHub projects from beginner to expert level. These projects, created by me @kingabzpro, cover essential MLOps concepts such as deployment, automation, orchestration, and more.