Machine Learning

Beyond Glorified Curve Fitting: Exploring the Probabilistic Foundations of Machine Learning | Towards Data Science An introduction to probabilistic thinking — and why it’s the foundation for robust and explainable AI systems.

Instead of just trying to be “more accurate”, a probabilistic approach becomes more robust against errors and uncertainties, more flexible and therefore more adaptable to new situations, and more comprehensible and interpretable. #ML #AI #probabilisticthinking

As much as 30% of Microsoft code now written by AI, CEO Satya Nadella says The amount of code being written by AI at Microsoft is increasing steadily, the chief executive said during a conversation with Meta’s Mark Zuckerberg.

“I’d say maybe 20%, 30% of the code that is inside of our repos today and some of our projects are probably all written by software,” he told Mark Zuckerberg during a live conversation at Meta’s inaugural LlamaCon AI developer event in Menlo Park, Calif. #AI #code #Microsoft

Not everything needs an LLM: A framework for evaluating when AI makes sense The answer to 'What customer needs requires an AI solution?' isn’t always 'Yes.' LLMs are still expensive and not always accurate.

Don’t use a lightsaber when a simple pair of scissors could do the trick. Evaluate your customer’s need, taking into account the costs of implementation and the precision of the output, to build accurate, cost-effective products at scale. #LLM #ML #AI

5 Open-Source AI Tools That Are Worth Your Time Learn how these five open-source AI tools offer incredible capabilities for developers, researchers, and tech enthusiasts. By integrating these tools into your workflow, you can increase your AI proje...

In this article, we'll explore five outstanding open-source AI tools that can streamline your workflow, improve productivity, and enhance your projects. Whether you're a data scientist, a developer, or just curious about AI, these tools are worth checking out. #ML #AI

A Simple Guide to Create a Team of Custom AI Agents to Automate Business Workflows This is a simple guide that shows business professionals how easily they can create a team of custom AI agents to automate business workflows using GPT -4o.

Think of an AI agent as a smart digital assistant you can train for specific business functions. Unlike general AI chatbots, an AI agent can understand a goal, break it down into steps, and work independently to achieve it, often using specific data or tools you provide. #AI #AIAgents #ML

Improving Deep Learning With a Little Help From Physics | Quanta Magazine Rose Yu has a plan for how to make AI better, faster and smarter — and it’s already yielding results.

This work has brought Yu closer to her dream — deploying a suite of digital lab assistants that she calls AI Scientist. She now envisions what she calls a “partnership” between human researchers and AI tools, fully based on the tenets of physics and thus capable of yielding new scientific insights.

“Periodic table of machine learning” could fuel AI discovery After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, MIT researchers organized them into a “periodic table of machine learning” that can help scientists co...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected. The new framework sheds light on how scientists could fuse strategies from different methods to improve existing AI models or come up with new ones. #ML #AI

'Dead Internet Theory' Is Back Thanks to All of That AI Slop Have you heard of the Dead Internet Theory that’s been circling online (ironically) lately? If not, brace yourself…

The dead internet theory essentially claims that activity and content on the internet are predominantly being created and automated by AI agents. These agents can rapidly create posts alongside AI-generated images designed to farm engagement (clicks, likes, comments) on social platforms. #ML #AI

10 Must-Know Python Libraries for Machine Learning in 2025 - MachineLearningMastery.com In this article, we’ll look at 10 Python libraries you should know if you’re working with machine learning.

Python is one of the most popular languages for machine learning. It’s simple to use, flexible and has a vast ecosystem of libraries that make building machine learning models both fast and easy. We’ll look at 10 Python libraries you should know if you’re working with machine learning. #ML #python

The Rise And Rise Of Reinforcement Learning: AI’s Quiet Revolution A quiet revolution is reshaping artificial intelligence, and it’s not the flashy one grabbing headlines.

Reinforcement learning agents explore freely, often stumbling on solutions humans miss. In Atari, the AI’s unconventional strategies hinted at its potential for fields like logistics or drug discovery. #ML #RL #AI

68 of the best Harvard University courses you can take online for free Take your pick from this massive selection of free online courses.

Lots of options in data science, machine learning, and computer science available to audit for free. #ML #AI #datascience

Fake AI job seekers are flooding U.S. companies It's getting harder for hiring managers to screen out bogus AI-generated applicants

Hiring employers are being inundated by applicants "wielding AI tools to fabricate photo IDs, generate employment histories and provide answers during interviews." The spike in fake AI-generated applicants means that by 2028, 1 in 4 job candidates globally will be bogus according to Gartner. #AI #ML

10 Free Data Science Books For 2025 - KDnuggets 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

Entering the data science field presents an overwhelming abundance of resources, sometimes even too many. Not every resource is created equal, and many resources might not be perfect for your learning process. Let's explore the top ten free data science books you should know about in 2025. #ML #AI

Learnings from a Machine Learning Engineer — Part 6: The Human Side | Towards Data Science Practical advice for the humans involved with machine learning

Beyond the technical challenges of creating an AI/ML application, there are many humans involved in a successful project. Being able to interact with them, and meet them where they are in terms of their expectations from the technology, is vital to advancing the adoption of your application. #ML #AI

How AI will Disrupt BI As We Know It A continuation-in-spirit from my recent post “How AI will Disrupt Data Engineering As We Know It.”

AI is going to be meaningfully better at exploratory data analysis than any BI tool. If you take away EDA from BI, the ‘conveyor belt’ model breaks down. And the conveyor belt model is the primary reason you use your current BI tool. It is not yet clear how the BI ecosystem will adapt. #AI #BI

Microsoft is offering free AI skills training for all - and it's not too late to sign up Microsoft's 50-day AI Skills Fest offers free AI lessons for beginners and pros, as well as prizes to win and discounts to check out. Register now for free access through May 28th.

Microsoft's AI Skills Fest offers courses that are open for all skill levels. Although there are tiers of learning, it's packaged as a single experience. You can work through any or all of the lessons as part of one unified course. #AI #ML #upskill

Why all companies should think beyond Large Language Models By looking outside the current wave of AI hype, we can create a framework for weighing up the practical impact of AI on any business.

Large Language Models (LLMs) are just one type of AI. Despite the hype, they have not superseded all other types and made them redundant. Many of the most promising applications of AI are emerging in areas of machine learning that have little to do with LLMs. #ML #AI #LLM

YouTube video by Data Sensei Genius Machine Learning Advice for 10 Minutes Straight

In this video, I've compiled some of the best machine learning advice from the Lex Fridman Podcast. I tried to feature the brightest minds of our time that are currently working on AI like Andrew Ng, George Hotz, Yann lecun, Ilya Sutskever, Sam Altman and Demis Hassabis amongst many others. #ML #AI

OpenAI's New Image Generator Is Incredible for Creating Fraudulent Documents OpenAI's image-generating 4o model is surprisingly good at generating text inside images. Users are using it to fake receipts for expenses.

"You can use 4o to generate fake receipts," Das wrote. "There are too many real-world verification flows that rely on 'real images' as proof. That era is over." #AI #ML #fraud

The NLP Course is becoming the LLM Course We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Hugging Face has revamped its popular NLP course into a broader LLM curriculum with expanded chapters on fine-tuning, reasoning models, and modern AI agent workflows. #AI #ML #LLM #HuggingFace

Study suggests OpenAI isn't waiting for copyright exemption : GPT-4o likely trained on O’Reilly books without permission, figures appear to show

GPT-4o scored 82%, a strong signal it was likely trained on the publisher's material. The researchers speculated OpenAI may have trained the model using the LibGen database, which contains all 34 of the books tested. #AI #ML #copyright

Exclusive: Earth AI’s algorithms found critical minerals in places everyone else ignored | TechCrunch The startup uses AI to quickly search for minerals over wide areas, identifying promising potential deposits for exploration.

“If I could build an algorithm that can absorb all that knowledge and learn from the failures and successes of millions of geologists in the past, I can make much better predictions about where to find minerals in the future.” #AI #ML #mining

A Clear Intro to MCP (Model Context Protocol) with Code Examples | Towards Data Science MCP is a way to democratize access to tools for AI Agents. In this article we cover the fundamental components of MCP, how they work together, and a code example of how MCP works in practice.

As the race to move AI agents from prototype to production heats up, the need for a standardized way for agents to call tools across different providers is pressing. MCP gives us a shared language and the democratization of tool calling. #AI #ML #AIAgents

7 GitHub Projects to Master Machine Learning - KDnuggets Learn model serving, CI/CD, ML orchestration, model deployment, local AI, and Docker to streamline ML workflows, automate pipelines, and deploy scalable, portable AI solutions effectively.

Machine learning operations, commonly referred to as MLOps, is a vast field that can sometimes feel overwhelming. To help you navigate your learning journey, I have ranked seven GitHub projects that cover essential MLOps concepts such as deployment, automation, orchestration and more. #ML #AI #MLOps

Farewell Photoshop? Google’s new AI lets you edit images by asking. New experimental AI allows no-skill photo editing, including removing watermarks. But it’s not perfect.

There's a new Google AI model in town, and it can generate or edit images as easily as it can create text—as part of its chatbot conversation. The results aren't perfect, but it's quite possible everyone in the near future will be able to manipulate images this way. #AI #ML #imageediting

The Silent Erosion of Our Critical Thinking Skills Overreliance on artificial intelligence may diminish critical thinking skills.

AI's ability to automate decision-making processes can diminish our capacity for analytical reasoning. Critical thinking empowers us to navigate complexity, solve problems, and make informed decisions. Overreliance on AI may reduce our ability to critically think. #AI #ML

How do you get ChatGPT to create malware strong enough to breach Google's password manager? Just play pretend. Cybersecurity researchers were able to bypass security features on ChatGPT by roleplaying with it, getting the bot to write password-stealing malware.

Cybersecurity researchers were able to bypass security features on ChatGPT by roleplaying with it. By getting the LLM to pretend it was a coding superhero, they got it to write password-stealing malware. #ML #AI #maleware #cybersecurity

Accelerating Large-Scale Test Migration with LLMs How Airbnb migrated nearly 3.5K Enzyme test files to React Testing Library in just 6 weeks using automation and LLMs

Airbnb completed a LLM-driven code migration, updating 3.5K React component test files from Enzyme to use React Testing Library (RTL) instead. We’d originally estimated this would take 1.5 years of engineering time to do by hand, but we finished the entire migration in just 6 weeks. #AI #LLM #ML

Nearly 100% of cancer identified by new AI, easily outperforming doctors In what's expected to soon be commonplace, artificial intelligence is being harnessed to pick up signs of cancer more accurately than the trained human eye. This latest AI model has a near 100% succes...

In what's expected to soon be commonplace, artificial intelligence is being harnessed to pick up signs of cancer more accurately than the trained human eye. This latest AI model has a near 100% success rate and serves as a clear sign of things to come. #AI #ML #cancer

Mastering Prompt Engineering with Functional Testing: A Systematic Guide to Reliable LLM Outputs  | Towards Data Science How prompt evaluation with a systematic approach composed of algorithmic testing with input/output data fixtures can make prompt engineering for complex AI tasks more reliable.

Traditional prompt optimization is clearly missing a structured, scientific approach that will ensure reliability.
Functional testing leverages automated input-output testing with multiple iterations and algorithmic scoring to turn prompt engineering into a measurable, data-driven process. #AI #ML