2025 at Google
Learn more about Google’s launches, milestones and more from 2025.
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The Machine Learning “Advent Calendar” Day 7: Decision Tree Classifier
In Day 6, we saw how a Decision Tree Regressor finds its optimal split by minimizing the Mean Squared Error. Today, for Day 7 of the Machine Learning “Advent Calendar”, we switch to classification. With just one numerical feature and two classes, we explore how a Decision Tree Classifier decides where to cut the data, using impurity measures like Gini and Entropy. Even without doing the math, we can visually guess possible split points. But which one is […]
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We’re celebrating Geoffrey Hinton’s Nobel-winning legacy with the University of Toronto.
Today, we are celebrating the extraordinary impact of Nobel Prize-winner Geoffrey Hinton by investing in the future of the field he helped build. Google is proud to supp…
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How rich people existing and living in a city helps the poor people of that city also
I just got a $15 tip to deliver a $1 soda in a rich neighborhood. This is just one silly example, but rich people, or just wealth in general obviously creates more opportunities and jobs for all of us submitted by /u/Crafty_Jacket668 [link] [comments]
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OpenAI fires back at Google with GPT-5.2 after ‘code red’ memo
OpenAI just launched GPT-5.2, a frontier model aimed at developers and professionals, pushing reasoning and coding benchmarks as it races Google’s Gemini 3 while grappling with compute costs and no generator.
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The Machine Learning “Advent Calendar” Day 8: Isolation Forest in Excel
Isolation Forest may look technical, but its idea is simple: isolate points using random splits. If a point is isolated quickly, it is an anomaly; if it takes many splits, it is normal. Using the tiny dataset 1, 2, 3, 9, we can see the logic clearly. We build several random trees, measure how many splits each point needs, average the depths, and convert them into anomaly scores. Short depths become scores close to 1, long depths close […]
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Kernel Principal Component Analysis (PCA): Explained with an Example
Dimensionality reduction techniques like PCA work wonderfully when datasets are linearly separable—but they break down the moment nonlinear patterns appear. That’s exactly what happens with datasets such as two moons: PCA flattens the structure and mixes the classes together. Kernel PCA fixes this limitation by mapping the data into a higher-dimensional feature space where nonlinear patterns become linearly separable. In this article, we’ll walk through how Kernel PCA works and use a simple example to visually compare PCA […]
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Cashew Research is going after the $90B market research industry with AI
Cashew Research uses AI to automate the market research process while still collecting real-world data from humans.
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The Google guide for holiday help
Learn more about using Google products like Gemini, Search, Shopping, Pixel and more over the holidays.
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How to Be an AI Innovator in 2026: Future of Intelligent Tech
As we approach 2026, innovation is no longer limited to large tech companies; individuals, entrepreneurs, and students now have unprecedented access to powerful AI tools and platforms. In other words, the opportunity of being an AI Innovator is more accessible than it has ever been. To thrive in the future, understanding how to imagine, design, and apply intelligent systems is essential to becoming an AI expert. Understanding What It Means to Be an AI Innovator An AI Innovator […]
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