I really hate math. Before reading this book.
After reading this book, I also don't like math.
I think I have missed the opportunity to fall in love with mathematics.
My logical thinking is very good. If one thing I can't understand the logic, I will be very anxious, so that I have to find a way to understand it. When I was in school, I had a good sense of history and geography, but math and physics did not.
These two are simply crashing. There is no logic at all. Why do I have to memorize this formula. Why is this formula like this? No one told me that behind the logic, I am good at understanding, but not good at memorizing.
After reading the beauty of mathematics, how to say it reduces my prejudice against mathematics. Maybe mathematics is really beautiful, beautiful formulas, and various applications.
I think that this person is too careless, so in my opinion, there is no point in understanding the matter from the depths of the soul. Even if consciousness tells me that I should be there, but the nature is still resisting. Like Li Xiao, we have three parts in our heart. The instinct is against the dark horse, the emotion is against the white horse, and the young is against the human. This may not be like black and white horses, and human children try to change themselves.
Pulled away, come back. Do you know how the map is planned for the route? What is the recognition of speech? What happened to the web crawler?
Automatic news classification? How does the search engine weight come from? Doesn't it seem that the relationship with mathematics is not right? Nonono, is math support from all this
I recommend you to read the beauty of mathematics. A person who hates mathematics really recommends it.
The following is a directory, you can get an overview of the outline
Chapter 1 Text and Language vs Numbers and Information
Chapter 2 Natural Language Processing - From Rules to Statistics
Chapter 3 Statistical Language Model
Chapter 4 talks about Chinese word segmentation
Chapter 5 Implied Markov Module
Chapter 6 Measurement and Function of Information
Chapter 7 Jarinic and Modern Language Processing
Chapter 8 Simple Beauty - Boolean Algebra and Search Engine Index
Chapter 9 Graph Theory and Web Reptiles
Chapter 10 PageRank - Google's Democratic Voted Page Ranking Technique
Chapter 11 How to Determine the Relevance of Web Pages and Queries
Chapter 12, The Basic Techniques for Maps and Local Search - Finite State Machines and Dynamic Programming
Chapter 13 Designer of Google AK-47 - Dr. Amit Singer
Chapter 14 Cosine Theorem and Classification of News
Chapter 15 Two Classification Problems in Matrix Operations and Text Processing
Chapter 16 Information Fingerprint and Its Application
Chapter 17 is thought of by the TV series "The Dark Count" - talk about the mathematical principles of cryptography
Chapter 18: Flash is not necessarily gold. Talk about search engine anti-cheating
Chapter 19 talks about the importance of mathematical models
Chapter 20 Don't Put Eggs in a Basket - Talk about the Maximum Entropy Model
Chapter 21 Mathematical Principles of Pinyin Input Method
Chapter 22, the godfather of natural language processing, Marcus and his outstanding disciples
Chapter 23 Bloom Filter
Chapter 24 Extension of the Markov Chain - Bayesian Network
Chapter 25 Conditional Random Field and Syntactic Analysis
Chapter 26 Viterbi and his Viterbi algorithm
Chapter 27 discusses the automatic classification of texts - expectation maximization algorithm
Chapter 28 Logistic Regression and Search Advertising
Chapter 29, The Basics of Breaking Algorithms and Google Cloud Computing
In the end, although I still don't understand a lot after reading it, I also absorbed some of it. For me, it is probably enough.
Of course, this 618 bought Dr. Wu Jun’s wave of the tide and the light of civilization, and read it for everyone~
Good night, all the gentlemen.