The book to solve the problem of the watermelon book is here. Recently, Zhou Zhihua's "Machine Learning" companion book "Machine Learning Formula Detailed Explanation" is a one-stop solution to the mathematical problems in machine learning.
Detailed machine learning formula
The pioneering work in Chinese in the field of artificial intelligence, Zhou Zhihua's "Watermelon Book" and "Machine Learning" companion book, Datawhale's open source collaborative study notes "Pumpkin Book", a practice book for beginners in machine learning to improve their basic mathematics skills!
This book is Professor Zhou Zhihua’s "Watermelon Book"-the companion book of "Machine Learning". It also has a lovely name-"Pumpkin Book". The formula in the "Pumpkin Book" is based on the formula in the "Watermelon Book". In the process of deriving formulas, some prior knowledge is sometimes required, and the editors have also made necessary supplements. The above methods are "knowing" and "knowing what is happening" when learning machine learning. "What it is" is very important. There are more and more people who can use some machine learning tools to achieve a certain task, but the ability to have machine learning thinking and understand its principles so as to be able to solve practical problems is more important in work. People with this ability are also more competitive.
Watermelon book with pumpkin book
This "Pumpkin Book" should be read in conjunction with the "Watermelon Book". If you are confused about the formula or have a poor understanding of the concept when reading the "Watermelon Book", you can quickly locate the formula and derive it through the "Pumpkin Book" to gain a deeper understanding. In this sense, "Pumpkin Book" can be regarded as a formula dictionary of "Watermelon Book".
Why is it a partner?
Because the programming of the whole book is consistent with the "Watermelon Book", there are 16 chapters, and the content in each chapter corresponds to the corresponding chapters and formulas in the "Watermelon Book". In order to reduce the reading threshold as much as possible, this book is written from the perspective of undergraduate mathematics, so Readers with a foundation in undergraduate mathematics can basically read this book. Since the "Detailed Explanation of Machine Learning Formulas" is mainly a supplement to the "Watermelon Book", when writing specific chapters, it is assumed that readers have read the corresponding chapters of the "Watermelon Book".
Guiding suggestions
When you encounter a formula that you don't understand, check the book again, and the effect is best.
See what the experts say?
Facing a textbook with many mathematics problems, what beginners are most eager for is to have an "all-round teaching assistant" who can help with detailed analysis and step-by-step derivation in order to better digest the textbook. The "Pumpkin Book" initiated and compiled by the open source organization Datawhale gathers the wisdom of everyone and the power of the open source community, and brings the gospel to the majority of machine learning beginners. The best-selling book "Watermelon Book" by Professor Zhou Zhihua is equipped with an "almighty teaching assistant". I hope these two books will inspire wisdom and wisdom for all scholars and practitioners in the field of artificial intelligence and the industry, and create the future. ——Yu Yong, Distinguished Professor of Shanghai Jiaotong University, founder of the ACM class of Shanghai Jiaotong University, and founder of Boyu Education
. It is a very good learning method to deduce all the formulas. I am glad to see that the "Pumpkin Book" can focus on this. It is learning An indispensable auxiliary material for "Watermelon Book". ——Li Mu AWS Senior Chief Scientist, author of "Hands-on Deep Learning"
The "Pumpkin Book" is a new exploration of high-quality content produced by the Datawhale open source team. In the form of an open source project, this book helps readers derive important formulas and conduct in-depth discussions on knowledge difficulties. This new learning approach and writing model
has firmly grasped the needs and pain points of readers from the moment it started, making this book a very good book worth recommending. As worthy of recommendation as this book, there is also Datawhale's open source spirit and practical spirit. ——Cheng Mingming, Dean of the Department of Computer Science, Nankai University, and advocate for the Open Sharing of Scientific Research Records
. Although this book is not for everyone, those who really need it will find it particularly useful. It is like a schoolmaster at the same table, who can "send charcoal in the snow" when you are unable to gnaw on the "Watermelon Book". For many people, mathematical formulas are a terrible existence, but the beauty of learning is often in the "most dangerous and distant place", and the true taste can only be tasted after overcoming obstacles. If you want to understand machine learning, and not stop at understanding and application, this book will be a good "same table" for you-to accompany you to think and share the fun of "knowing why".
——Chen Guang, associate professor of Beijing University of Posts and Telecommunications, well-known blogger @爱可可-爱生活
For machine learning beginners, the "Pumpkin Book" supplements and expands the basic knowledge of mathematics, and is a good supplement to the "Watermelon Book".
—— Xu Yida, Associate Professor, University of Technology Sydney, author of machine learning open source lecture notes
Interpretation of "Detailed Explanation of Machine Learning Formula"
(1) A guide to the complete analysis of the "Watermelon Book" and "Machine Learning" formulas that are the top cumulative sales in the domestic market! Professor Zhou Zhihua, an artificial intelligence man, named and recommended it in the circle of friends!
This "Pumpkin Book" is a self-study note of Datawhale members. It has been approved by Zhou Zhihua. It has made a detailed analysis and derivation of 250 key and difficult formulas in the "Watermelon Book" (the coverage rate of key and difficult formulas is 99%), and aims to solve the problems in machine learning. Math puzzle.
(2) Machine learning is a necessary exercise book for beginners to improve basic mathematics abilities!
This book analyzes the more difficult formulas in the watermelon book from the perspective of undergraduate mathematics, and adds specific derivation details for some formulas, and can also practice for beginners of machine learning.
(3) Extend reading and broaden your ideas, helping readers of different levels to advance to the depth!
The book also has super-mathematics knowledge, which is given in the form of appendices and references. Interested students can continue to study in depth along the materials.
About the author
Appreciation of the layout of "Detailed Explanation of Machine Learning Formulas"
Hope Asynchronous Jun's answer can help you. I wish you a happy reading!