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Computer learners are happy, because there are so many easy-to-understand (relatively speaking) Classic books in this field, all you need to do is read them one by one. Here we will list some algorithm books I have read or prepared for your reference.
1. Introduction to CLRS AlgorithmsThe Encyclopedia of algorithms only provides exercises in the first dozen chapters, which will benefit a lot.
2. Introduction to algorithms AlgorithmsIt's short and eleg
humans, allowing computers to understand human languages with the help of machine learning. This book details how to use Python to execute various natural language processing (NLP) tasks, and helps readers master the zui best practices for designing and building NLP-based applications using Python. This book guides readers to apply machine learning tools to develop various models. For the creation of train
1. Java Language BasicsWhen it comes to basic Java language Learning books, you will definitely recommend Bruce Eckel's "Thinking in Java". It is a very profound technical book written, the Java languageBasic part basically no other book can go beyond it. Bruce Eckel, the author of the book, is known as a genius speculator on the internet, and the author's thinki
Before we recommended the Java language reading books, the following for you to learn from which aspects of the Java language to start learning, the specific contents are as follows
1. Java Language Basics
When it comes to the basics of Java language Learning, you will certainly recommend Bruce Eckel's thinking in Java. It is a very profound technical book written, the basic part of the Java language is basically no other
An algorithm is a set of well-defined rules that are used to solve a problem within a finite step. Popular point, that is, the process of computer problem solving. In this process, whether the formation of a problem-solving ideas or writing programs, are in the implementation of some kind of algorithm. The former is the algorithm of inference implementation, the
Machine learning and Data Mining recommendation book listWith these books, no longer worry about the class no sister paper should do. Take your time, learn, and uncover the mystery of machine learning and data mining. machine learning Combat " : The first part of this book mainly introduces the basis of machine learning, and how to use the algorithm to classify,
Learning Resources E -book articles
From the foundation to the project actual combat massive Video tutorial Resources chapter
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1. Java Basics2. Java EE3. Front Page related4. Database related5. Java Virtual Machine Related6. Java Core Related7, data structure and algorithm-related8, Android Technology-rela
[] I challenged McDonald's
[] Analysis of the secret value of great man's success in the world
2016 book list
Technology List
Bibliography Brief
Commentary
[x] Android design mode
It's good to explain the design pattern with the Android system source.
[x] Design Patterns: The basics of reusable object-oriented software
Design pattern theory, no bet
polynomial has an integer root does not exist.
Since Turing, algorithms have already had an inseparable connection with computer science. Of course, the content of this book is not intended to begin with the Turing machine. Looking back at the history of establishing a formal algorithm definition and cracking the question of Hilbert 10th, we want to explain more about how important algorithms are to our wo
I just handed in the Chinese translation. I strongly recommend this English version. This is an algorithm book suitable for self-study and teaching materials. Compared with it, Tsinghua's algorithm textbooks are simply for primitive people. What are its characteristics?1. Basic and comprehensive: two days ago saw a problem on Quora: What do you think the most gen
Java merge sort algorithm, bubble sort algorithm, selection sort algorithm, insert sort algorithm, description of Quick Sort Algorithm, java bubbleAn algorithm is a set of clearly defined rules used to solve a problem within a lim
, another parameter must be passed, this is a specification. This book emphasizes personal skills, understand what is inside the end, in essence, they do not have strong dependencies, otherwise, Java only need to design a grammar, and do not need 2, or only rewrite one of them when the direct compilation does not pass, because there is no need to superfluous, hehe!2, therefore, Fat brother in the book has s
able to open God's perspective and incorporate a wide range of machine learning into a huge network, unfortunately, most readers can't keep up with his strategically advantageous position (including myself).Finally recommended is David J C MacKay information theory, inference and Learning Algorithms, written in 2003, the Chinese version is called "Information theory, reasoning and learning algorithm." The author of this
(written in front) said yesterday to write a machine learning book, then write one today. This book is mainly used for beginners, very basic, suitable for sophomore, junior to see the children, of course, if you are a senior or a senior senior not seen machine learning is also applicable. Whether it's studying intelligence or doing other things, machine learning is a must. You see GFW all use machine study,
Algorithm Is a set of clearly defined rules used to solve a problem within a limited step. In layman's terms, it is the process of solving computer problems. In this process, no matter whether it is a problem-solving idea or writing
Program All are implementing certain algorithms. The former is an algorithm implemented by reasoning, and the latter is an algorithm
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Recommend a very good algorithm for getting started books:"Algorithm design and Analysis Basis" (2nd edition), (United States) Anany Levitin, Pan Yan translation.In addition to "thinking in Java", this is another book I have read two-thirds of the content and want to keep on reading. This book is very good, can feel th
engine core technology (crawler, index, query engine, PageRank algorithm, etc.), search for huge amounts of information and analyze the statistics to draw conclusions of the optimization algorithm, Bayesian filtering technology (spam filtering, text filtering), decision tree technology to achieve predictive and decision modeling capabilities, social network information matching technology, machine learning
problems, solve problems. This book is not only suitable for beginners in Java, but also suitable for experienced Java programmers, which is the charm of this book. However, the book doesn't cover all of Java's classes, interfaces, and methods, so if you want to use it as a dictionary of Java, you're obviously going to be disappointed.:Java Programming Ideas (4t
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