Hello everyone, my name is Louwill!
After the book "Machine Learning Formula Derivation and Code Implementation" was published, it received feedback from many readers, including many very valuable suggestions.
In order to truly improve this book and help more people get started with machine learning, I will focus on these three things while continuing to collect feedback from readers.
The first thing is to do the errata work for the first printing of the first edition. Although the manuscript has been carefully proofread before publication, it is inevitable that there are some hidden errors in the book. Since the publication of the new book, I have received errata feedback from some readers one after another, and I would like to express my heartfelt thanks here.
For the convenience of readers, the errata of the whole book has been updated to the GitHub that accompanies the book. Sorry for the inconvenience. ( Writing a book really has to be very careful, and must be responsible to the readers )
Errata address:
https://github.com/luwill/Machine_Learning_Code_Implementation/blob/master/README.md
The second thing is to make a PPT courseware for the whole book. Several college teachers have contacted the author, hoping to use this book as a textbook for the new semester machine learning course, and they need to be able to provide supporting PPT courseware. This work has also started and is expected to be completed by the end of February.
The third thing is to record a whiteboard derivation video for the algorithm derivation of the whole book. This matter was planned before, but because the book has not been finalized, it was shelved in the early stage. Now that the book has been published, in order to facilitate readers to learn and deepen their understanding, it is planned to restart this work after the Spring Festival.
Past highlights:
新书首发 | 《机器学习 公式推导与代码实现》正式出版！
2021，我读了32本书！