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1. neuro-fuzzy and soft computing, a computational approach to learning and machine intelligence
Comment: This book is jyh-shing, a good student at Lofti A. Zadeh (Foundation of Fuzzy Set ).
Written by Roger Jang (JI zhixing), and zadel personally introduced the preface ~~~ Although the publishing year-1997 was earlier, it was also 32 years after the advent of Fuzzy Set-1965. The most popular one is the aut
Author | Wang TianyiSOURCE | Geek Time column "Artificial Intelligence Basic Course"Doctor of Engineering, associate professor of AI Collection book, with the text attached to the PDF version of the link.Machine Learning ChapterIn machine learning, the first recommendation is the work of two domestic authors: "Statistical learning methods" by Dr. Hangyuan Li and "machine learning" by Professor Zhou Zhihua."
create a wooden bird. to find you, my songs you can Hear, lovers will be reunited! 5. Who is the most capable of people's ability to the greatest, fire let animals are afraid, monkeys were burned red buttocks and face. People should also reflect on their own positioning and significance. 6. Highlight catch water Long Wan angry, put water into the basket, pushing the car toward the Yuquan mountain. Look, description of how playful. "Bookworm series" Nbsp; This is a series of books publishe
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Artificial Intelligence 60: a good book to introduce depth study
In short, the 60-year history of AI development can be divided into three stages: logical reasoning, knowledge system and machine learning. Now, we are entering the stage of machine learning. What is machine learning (ML)? Machine learning is not a subject. Why.
In the final analysis: machine learning (that is, contemporary AI) is not a scie
Many people have used this programming collective intelligence as an entry to machine learning.
However, in my opinion, this book is not just a machine learning material. Of course, the book involves a lot of machine learningAlgorithmAnd application, but as the title describes, this is more about collective intelligence
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