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!
a small NumPy project series where I try to actually build something with NumPy instead of just going through random functions and documentation. I’ve always felt that the best way to learn is by doing, so in this project, I wanted to create something both practical and personal. The idea was simple: analyze my daily …
Using NumPy to Analyze My Daily Habits (Sleep, Screen Time & Mood) Read More »
Image by Author # Introduction If you have been writing code in the past couple of months, I am pretty sure you must have noticed a shift. AI is no longer something that just suggests snippets; it has gone beyond that, it’s starting to act. Developers are moving from assistive tools like Copilot to agentic …
A previous article provided a of conceptual frameworks – analytical structures for representing abstract concepts and organizing data. Data scientists use such frameworks in a wide variety of contexts, from use case ideation and validation of machine learning models to productization and operation of user-facing solutions. The framework type (e.g., hierarchy, matrix, process flow, relational …
The Power of Framework Dimensions: What Data Scientists Should Know Read More »
Image by Editor # Introduction Agentic AI is becoming super popular and relevant across industries. But it also represents a fundamental shift in how we build intelligent systems: agentic AI systems that break down complex goals, decide which tools to use, execute multi-step plans, and adapt when things go wrong. When building such agentic AI …
10 Essential Agentic AI Interview Questions for AI Engineers Read More »
says that “any sufficiently advanced technology is indistinguishable from magic”. That’s exactly how a lot of today’s AI frameworks feel. Tools like GitHub Copilot, Claude Desktop, OpenAI Operator, and Perplexity Comet are automating everyday tasks that would’ve seemed impossible to automate just five years ago. What’s even more remarkable is that with just a few …
Image by Author # Introduction Everyone knows what comes up in data science interviews: SQL, Python, machine learning models, statistics, sometimes a system design or case study. If this comes up in the interviews, it’s what they test, right? Not quite. I mean, they sure test everything I listed, but they don’t test only that: …
The Hidden Curriculum of Data Science Interviews: What Companies Really Test Read More »
Five months ago, we introduced Flow, our AI filmmaking tool powered by Veo, and have been inspired by the creativity it has sparked with over 275 million videos generated in Flow . We’re always listening to your feedback, and we’ve heard that you want more artistic control within Flow, with increased support for audio across …
Bringing new Veo 3.1 updates into Flow to edit AI video Read More »
! My name is Kirill Khrylchenko, and I lead the RecSys R&D team at Yandex. One of our goals is to develop transformer technologies within the context of recommender systems, an objective we’ve been pursuing for five years now. Not too long ago, we reached a new milestone in the development of recommendation technologies, which …
Scaling Recommender Transformers to a Billion Parameters Read More »
Image by Author # Introduction GLM-4.6 is the latest version of the Z.AI open-weight coding model, offering significant improvements over GLM-4.5 in areas such as agent performance, reasoning, and coding benchmarks. While it is available as open weights for self-hosting, running it at full capacity can be resource-intensive. As a result, many developers prefer a …
We gave our new C2S-Scale 27B model a task: Find a drug that acts as a conditional amplifier, one that would boost the immune signal only in a specific “immune-context-positive” environment where low levels of interferon (a key immune-signaling protein) were already present, but inadequate to induce antigen presentation on their own. This required a …
Google’s Gemma AI model helps discover new potential cancer therapy pathway Read More »
