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#11. 数学基础】Mathematics for Machine Learning系列之线性代数 ...

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"Mathematics for Machine Learning" 是一本关于机器学习的数学理论介绍的书籍。它主要讲解了机器学习中所使用到的数学概念，包括线性代数、微积分、概率论等。

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#14. 機器學習基石上(Machine Learning Foundations)

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机器学习与数学出品Mathematics for Machine Learning是英国Cambridge University Press即将出版的一本书，不过电子书已经发布，可以先看起来。

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📖 Books · Algebra, Topology, Differential Calculus, and Optimization Theory For Computer Science and Machine Learning · Applied Math and Machine Learning Basics.

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This material is published by Cambridge University Press as Mathematics for Machine Learning by. Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong ...

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This appendix aims to provide you the mathematical background you need to understand the core theory of modern deep learning, but it is not exhaustive. We will ...

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Companion webpage to the book “Mathematics for Machine Learning”. Copyright 2020 by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong. Published by ...

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Understanding Machine Learning: From Theory to Algorithms. Cambridge University Press. Shawe-Taylor, John, and Cristianini, Nello. 2004.

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#47. The Mathematics of Machine Learning | by Wale Akinfaderin

Despite the immense possibilities of Machine and Deep Learning, a thorough mathematical understanding of many of these techniques is necessary for a good ...

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超級推薦！Mathematics for Machine Learning by Imperial College London and Coursera! 迄今為止，最beginner friendly的為了機器學習定製的高等數學入門課...

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