As an important branch of the field of artificial intelligence, machine learning has been the focus of research for many developers and scholars. The design and optimization of machine learning algorithms are inseparable from the support of mathematical foundations, and in-depth understanding of various mathematical techniques is also required in practical applications.
The book "Machine Learning Mathematics" written by Tsinghua boss Lei Ming is written to help readers better apply mathematical knowledge in machine learning.
The book "Mathematics for Machine Learning" covers the mathematical knowledge commonly used in machine learning and its programming implementation. The book begins with the fundamentals of mathematics and introduces the fundamentals in mathematical fields such as matrices, linear algebra, calculus, and probability theory.
Each chapter is accompanied by a large number of examples to help the reader understand and apply the mathematical techniques learned, while the book delves deeper into various machine learning algorithms and explains their mathematical principles.
For example, the book explains in detail the mathematical models behind algorithms such as support vector machines, neural networks, and Gaussian processes, and provides a large number of programming examples for the reader's reference.
The beauty of this book is that it highlights the most important mathematical concepts and techniques in machine learning, how to apply mathematical knowledge to practical problems in machine learning, and explains it in an easy-to-understand wayIn this book, readers will find a variety of machine learning algorithms suitable for different application scenarios, and understand the mathematical knowledge behind them and how to implement them
In addition, the book provides a wealth of examples, exercises, and references. Readers can use these tools to better grasp what is told in the book while having a wider range of learning resources. At the same time, if you want to learn more about in-depth mathematics and learn more about the technological advancements in the field of machine learning, this book can also be used as a reference material for further study.
If you are a beginner in machine learning or are already a developer in the field of machine learning and want to understand the mathematics behind machine learning algorithms in more depth, then the book "Mathematics of Machine Learning" is definitely a good choice.
"The Mathematics of Machine Learning" Chinese HD PDF has a total of 409 pages, and you can add it directly if you need it.
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