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Every Monday Book | The Beauty of Mathematics


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.