Welcome to the Machine Learning Hub, your one-stop destination for all things related to machine learning!
Get ready to embark on an exciting journey into the realm of AI and discover how machines can learn and make intelligent decisions. Our blog articles are crafted with simplicity and clarity in mind, making complex machine learning concepts easy to understand for everyone. Whether you’re a beginner or an experienced practitioner, we’ve got you covered with informative and insightful content. Explore the fascinating world of algorithms, models, and data as we delve into supervised and unsupervised learning, reinforcement learning, and more. Discover practical applications in various domains like healthcare, finance, and autonomous vehicles. From introductory guides to advanced techniques, we’re here to help you demystify machine learning and unlock its potential. Join us on this journey as we unravel the secrets of machine learning and empower you to build intelligent systems that can analyze data, make predictions, and drive innovation.
Let’s shape the future together with the power of machine learning!
are planning next year’s birthday celebrations for three friends: Gabriel, Jacques, and Camille. All three of them were born in 1996, in Paris, France, so they will be 30 years old next year in 2026. Gabriel and Jacques will happen to be in Paris on their respective birthdays, while Camille will be in Tokyo, Japan, …
Image by Ideogram # Introduction When you hear the word data science, you probably think of two words: programming and statistics. In fact, the prerequisite of learning statistics often discourages people from pursuing a career in data. It doesn’t help that most data science job descriptions make it seem like you need a PhD in …
How I Actually Use Statistics as a Data Scientist Read More »
Responsibility & Safety Published 6 October 2025 Authors Raluca Ada Popa and Four Flynn Using advanced AI to fix critical software vulnerabilities Today, we’re sharing early results from our research on CodeMender, a new AI-powered agent that improves code security automatically. Software vulnerabilities are notoriously difficult and time-consuming for developers to find and fix, even …
Introducing CodeMender: an AI agent for code security Read More »
of AI hype, it feels like everyone is using Vision-Language Models and large Vision Transformers for every problem in Computer Vision. Many people see these tools as one-size-fits-all solutions and immediately use the latest, shiniest model instead of understanding the underlying signal they want to extract. But oftentimes there’s beauty to simplicity. It’s one of …
Classical Computer Vision and Perspective Transformation for Sudoku Extraction Read More »
Image by Editor # Introducing ChatGPT Study Mode Among the unending supply of AI-powered tools and features of late, ChatGPT Study Mode has captured the attention of students, educators, and lifelong learners. It promises to revolutionize study habits with personalized learning, interactive exercises, and on-demand explanations. Yet, as with any new technology, the question remains: …
Is ChatGPT Study Mode a Hidden Gem or a Gimmick? Read More »
dashboard for your customers, clients, or fellow workers is becoming an essential part of the skill set required by software developers, data scientists, ML practitioners, and data engineers. Even if you work primarily on back-end processing, the data you’re processing usually needs to be “surfaced” to users at some point. If you’re lucky, your organisation …
Build a Data Dashboard Using HTML, CSS, and JavaScript Read More »
Image by Editor # Introduction In any machine learning project, feature selection can make or break your model. Selecting the optimal subset of features reduces noise, prevents overfitting, enhances interpretability, and often improves accuracy. With too many irrelevant or redundant variables, models become bloated and harder to train. With too few, they risk missing critical …
We Used 3 Feature Selection Techniques: This One Worked Best Read More »
are large-scale AI models trained on a vast and diverse range of data, such as audio, text, images, or a combination of them. Because of this versatility, foundation models are revolutionizing Natural Language Processing, Computer Vision, and even Time Series. Unlike traditional AI algorithms, foundation models offer out-of-the-box predictions without the need for training from …
Are Foundation Models Ready for Your Production Tabular Data? Read More »
Image by Author | Ideogram # Introduction When I first started my data science career in 2020, the field was booming. Everywhere you looked, companies were hiring data professionals. At that time, I built a data science portfolio and managed to land several high-paying clients. I would write data science content, such as white papers, …
Why I Quit My 6 Figure Side Hustle for a Full-Time Data Science Job Read More »
We introduce VaultGemma, the most capable model trained from scratch with differential privacy.
