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Source channel @githubtrending · Post #14869 · Jun 26

#html#data_science#education#machine_learning#machine_learning_algorithms#machinelearning#machinelearning_python#microsoft_for_beginners#ml#python#r#scikit_learn#scikit_learn_python Microsoft’s "Machine Learning for Beginners" is a free, 12-week course with 26 lessons designed to teach classic machine learning using Python and Scikit-learn. It includes quizzes, projects, and assignments to help you learn by doing, with lessons themed around global cultures to keep it engaging. You can access solutions, videos, and even R language versions. The course is beginner-friendly, flexible, and helps build practical skills step-by-step, making it easier to understand and apply machine learning concepts in real-world scenarios. This structured approach boosts your learning retention and prepares you for further study or career growth in ML[1][5]. https://github.com/microsoft/ML-For-Beginners

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Hypercube's Channel

@SmartHypercube_channel · Post #84 · 07/29/2022, 08:43 AM

https://0x01.me/colorspace/ (网页可以交互) 最近学了一些 OpenGL,做了一个我一直想做的事情:把 sRGB 的结构在 CIELUV 色彩空间中展示出来。 之前看这个博客 https://ciechanow.ski/ 觉得好羡慕,也想用可交互的 3D 模型更好地学习和讲解一些概念。之后可能会进一步做一些 CIELUV 色彩空间相关的工具。 CIELUV 色彩空间是符合人眼对光的感知的,它有三个主要的性质: 1. 在这个空间中,任意两点的欧几里德距离就表示在人眼看来它们相差多少 2. L 坐标轴(图中纯白和纯黑之间的连线)符合人眼对光的强度的感知,任意一点的 L 坐标表示在人眼看来它有多亮 3. 任意一点偏离 L 坐标轴的程度表示它有多强烈的“色彩”(相对于白灰黑) 常用的 sRGB 色彩空间是没有这三个性质的,例如 #f00#0f0#00f 看起来亮度并不相同。#000 #111 #222 #333 也不是等间距的。 这张图中每一小段连线表示 rgb 中的某个分量变化了 17,每个交点表示一个 rgb 分量都是 17 的整数倍的颜色(也就是能用 #ccc#74f 等这种缩写表示的颜色)