Statistics-List
Mathematics List | 机器学习的数学理论资料索引
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机器学习入门资源不完全汇总: 本文是 机器学习日报的一个专题合集。
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Top-down learning path: Machine Learning for Software Engineers: 针对软件工程师的机器学习进阶之路
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If you want to learn Data Science, take a few of these statistics classes
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2014-math-as-code: This is a reference to ease developers into mathematical notation by showing comparisons with JavaScript code.
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2017-The Mathematics of Machine Learning: Despite the immense possibilities of Machine and Deep Learning, a thorough mathematical understanding of many of these techniques is necessary for a good grasp of the inner workings of the algorithms and getting good results.
Resource
Book
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2019-Richard McElreath-Statistical Rethinking 📚: Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today’s model-based statistics, the book pushes you to perform step-by-step calculations that are usually automated. This unique computational approach ensures that you understand enough of the details to make reasonable choices and interpretations in your own modeling work.
- Statistical Rethinking course winter 2022: Statistical Rethinking course winter 2022
- PyMC3 port of the book “Statistical Rethinking” by Richard McElreath (second edition)