A well written book on pattern recognition for beginners. It covers basic topics in this field, including discriminant analysis, decision trees, feature selection, and clustering -- all are basic knowledge that researchers in machine learning or pattern recognition should understand
2022-10-25 22:58:01
12.52MB
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A Mathematical Introduction to Compressive Sensing Springer 2013
Authors:Simon Foucart, Holger Rauhut
2022-10-25 14:36:51
6.25MB
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剑桥大学-信息检索教材-英文-Introduction to Information Retrieval
2022-10-25 11:19:29
5.49MB
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A Gentle Introduction to Category Theory 1994 Fokkinga
2022-10-24 20:13:51
435KB
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An Introduction to Category Theory
HAROLD SIMMONS
University of Manchester
2022-10-24 19:59:36
964KB
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对于初学者来说，矩阵计算涉及许多数。对于你来说，它们涉及向量。我们正观察计算的内部，中文翻译，以找出当中的数学。 作者的职责是使它变得清晰。本章以“线性代数基本定理”结束。
2022-10-21 09:07:50
662KB
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作者 Bert Mendelson 226 页， 目录： 1. theory of sets 2. metric spaces 3. topological spaces 4. connectedness 5. compactness
2022-10-18 15:54:36
1.59MB
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Reinforcement Learning - An Introduction 2nd 2017
2022-10-17 23:16:53
9.69MB
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Feller的权威概率统计教材。
2022-10-17 21:01:32
4.67MB
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2020最新版coursera mooc Introduction to Data Science in Python
用于学习交流
2022-10-13 23:15:22
8KB
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