Hello everyone! I am louwill.
A few years ago, I said that I would support the PPT accompanying the book "Machine Learning Formula Derivation and Code Implementation". During the Chinese New Year, I did some work intermittently. At present, I have completed a few chapters of PPT, and I will send you an example first. I hope everyone Give some more comments.
All PPTs are expected to be completed by the end of March, and will be provided free of charge to readers who have purchased this book and college teachers who intend to use this book as a textbook.
When the actual PPT is produced, the content will be integrated according to the connection between the relevant chapters. For example, models such as linear regression, logarithmic probability regression, LASSO, Ridge and LDA may be summarized in a linear model PPT. The content of the PPT and the content of the book can basically correspond, and it is not ruled out that some content that is not in the book will be added.
There is no exercise reference in the book itself. After listening to some teachers' feedback, I decided to add exercise options to each chapter in the PPT, which is convenient for teachers to use for teaching and for readers to use for self-testing.
The sample PPT of the first chapter can be downloaded by replying to the PPT in the background of the official account. Readers and friends are welcome to make some comments and suggestions, thank you!
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