Machine Learning Series Chapter 1
specterops.io | blog | #ai-security
Summary
This article explores core machine learning concepts through Micrograd, a minimal autograd engine. It covers regression, classification, loss functions, gradients, and backpropagation with examples. Walk the readers through a neural network from scratch and train it step-by-step, observing how weights update and loss decreases.
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--- id: 9521 title: "Machine Learning Series Chapter 1" source_domain: specterops.io source_url: "https://specterops.io/blog/2025/07/02/machine-learning-series-chapter-1/" published_at: "2025-07-02T16:37:04Z" tags: ["ai-security"] phying_url: "https://phying.com/item/9521" lang: en --- # Machine Learning Series Chapter 1 ## Summary This article explores core machine learning concepts through Micrograd, a minimal autograd engine. It covers regression, classification, loss functions, gradients, and backpropagation with examples. Walk the readers through a neural network from scratch and train it step-by-step, observing how weights update and loss decreases. ## Intelligence Metadata - **Sources:** specterops.io - **Published:** 2025-07-02T16:37:04Z - **Original:** https://specterops.io/blog/2025/07/02/machine-learning-series-chapter-1/ - **Phying News:** https://phying.com/item/9521