Machine Learning

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!

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Gemini 2.5: Updates to our family of thinking models

Today we are excited to share updates across the board to our Gemini 2.5 model family: Gemini 2.5 Pro is generally available and stable (no changes from the 06-05 preview) Gemini 2.5 Flash is generally available and stable (no changes from the 05-20 preview, see pricing updates below) Gemini 2.5 Flash-Lite is now available in …

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A Practical Guide to Multimodal Data Analytics

Sponsored Content     Google Cloud     Introduction   Enterprises manage a mix of structured data in organized tables and a growing volume of unstructured data like images, audio, and documents. Analyzing these diverse data types together is traditionally complex, as they often require separate tools. Unstructured media typically requires exports to specialized services …

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How we’re supporting better tropical cyclone prediction with AI

Research Published 12 June 2025 Authors Weather Lab team We’re launching Weather Lab, featuring our experimental cyclone predictions, and we’re partnering with the U.S. National Hurricane Center to support their forecasts and warnings this cyclone season. Tropical cyclones are extremely dangerous, endangering lives and devastating communities in their wake. And in the past 50 years, …

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Stop Building AI Platforms | Towards Data Science

and medium companies achieve success in building Data and ML platforms, building AI platforms is now profoundly challenging. This post discusses three key reasons why you should be cautious about building AI platforms and proposes my thoughts on promising directions instead. Disclaimer: It is based on personal views and does not apply to cloud providers …

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Automating GitHub Workflows with Claude 4

Image by Author   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. In this tutorial, we will learn how to use Claude Opus …

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combining generative AI with live-action filmmaking

Today, Eliza McNitt’s short film, “ANCESTRA,” premieres at the Tribeca Festival. It’s the story of a mother, and what happens when her child is born with a hole in its heart. Inspired by the dramatic events of McNitt’s own birth, the film portrays a mother’s love as a cosmic, life-saving force. This is the first …

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User Authorisation in Streamlit With OIDC and Google

of activity in the AI world over the last few weeks, a recent important announcement by Streamlit that it now supports OpenID Connect (OIDC) login authentication almost passed me by.  User authorisation and verification can be a crucial consideration for data scientists, machine learning engineers, and others involved in creating dashboards, machine learning proofs of …

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Bridging the Gap: New Datasets Push Recommender Research Toward Real-World Scale

Sponsored Content       Recommender systems rely on data, but access to truly representative data has long been a challenge for researchers. Most academic datasets pale in comparison to the complexity and volume of user interactions in real-world environments, where data is typically locked away inside companies due to privacy concerns and commercial value.That’s …

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