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[Machine Learning] Computer learning resources compiled by foreign programmers

This article compiles a number of frameworks, libraries, and software (sorted by programming language) for the machine learning domain.1. c++1.1 Computer Vision ccv-based on C language/provide cache/core machine Vision Library, novel

8 Simple sections to open the Java language Learning path attached Java learning Book list _java

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 writ

Professor Zhang Zhihua: machine learning--a love of statistics and computation

academia. Let's focus on the relationship between statistics and computer science. Larry Wasserman, a professor at the CMU Department of Statistics, has recently been selected as a Fellow of the American Academy. He wrote a book with a very overbearing name, all of Statistics. There is a very interesting description of statistics and machine learning in the intr

Coursera open course notes: "Advice for applying machine learning", 10 class of machine learning at Stanford University )"

networks and overfitting: The following is a "small" Neural Network (which has few parameters and is easy to be unfitted ): It has a low computing cost. The following is a "big" Neural Network (which has many parameters and is easy to overfit ): It has a high computing cost. For the problem of Neural Network overfitting, it can be solved through the regularization (λ) method. References: Machine Learning

Machine Learning deep learning natural Language processing learning

Statistical Learning methods, Hangyuan li. Very famous, good at Natural language processing, the book is also in accordance with natural language processing to write.3.4 Miscellaneous Goods Guo XiaoxianLinks: https://www.zhihu.com/question/26006703/answer/63572833Copyright belongs to the author. Commercial reprint please contact the author for authorization, non-commercial reprint please spec

"Machine learning experiment" using Python for machine learning experiments

ProfileThis article is the first of a small experiment in machine learning using the Python programming language. The main contents are as follows: Read data and clean data Explore the characteristics of the input data Analyze how data is presented for learning algorithms Choosing the right model and

Image Classification | Deep Learning PK Traditional Machine learning _ machine learning

Original: Image classification in 5 Methodshttps://medium.com/towards-data-science/image-classification-in-5-methods-83742aeb3645 Image classification, as the name suggests, is an input image, output to the image content classification of the problem. It is the core of computer vision, which is widely used in practice. The traditional method of image classification is feature description and detection, such traditional methods may be effective for some simple image classification, but the tradit

Installing a VMware virtual machine on a hyper-polar book

Recently intermittent toss on VMware installed 64-bit Ubuntu virtual system on the learning of Linux and write simple code, also familiar with the image recognition program. Experienced the following process, is now recorded for future reference.1. Own two notebooks, a Dell ultra-polar Ben 6430U, SSD hard disk 128G, performance can also be a bit small hard disk, Thinkpad T410, hard disk, too heavy. Super-great Ben is really light. Tangled or want to c

Getting Started with machine learning-understanding machine learning + Simple perceptron (Java implementation)

First, let's talk about gossip.  If you go to machine learning now, will you go? Is it because you are not interested in this aspect, or because you think this thing is too difficult, you will not learn? If you feel too difficult, very good, believe that after reading this article, you will have the courage to step into the field of machine

Machine Learning Classic Books

direction:Lie Groups, Lie algebras, and Representations:an elementary Introduction. by Brian C. HallThe book starts from The Matrix and introduces the concept of the matrix Lie groups from the algebraic rather than the geometrical point of view. And the exponential mapping is established by defining the operation, and the Lie algebra is introduced in this way. This method is more acceptable than the tradit

Machine Learning Pit __ Machine learning

this module is the user's order data. And we all know that there is a widespread "brush list" and "store goods" behavior, these "brush list" and "store goods" behavior is our order data in the "anomaly", if not dealt with will inevitably affect the recommended results. Figure 1. Book "Partner Combination" module Let's talk about the effect of the brush list first. Usually understand the "brush list" is the brush sales, at best, will affect the hot li

C ++ Good Book recommendation

C ++ learning methods and Book recommendations Author: MatrixCpp Source: CSDN responsible editor: Wang yuhan (1) C ++ I understand now For various reasons, a lot of energy has to be invested in learning and using java. to form a series of articles to learn

Machine Learning Classic books [Turn]

Starter Book List The beauty of mathematics PDFThe author Wu Everyone is familiar with it. The application of mathematics in the fields of machine learning and natural language processing is described in a very popular language. "Programming Collective Intelligence" ("collective Wisdom Programming") PDFAuthor Toby Segaran is also the author of Beautifuldata

[Pattern Recognition and machine learning] -- Part2 Machine Learning -- statistical learning basics -- regularized Linear Regression

Source: https://www.cnblogs.com/jianxinzhou/p/4083921.html1. The problem of overfitting (1) Let's look at the example of predicting house price. We will first perform linear regression on the data, that is, the first graph on the left. If we do this, we can obtain such a straight line that fits the data, but in fact this is not a good model. Let's look at the data. Obviously, as the area of the house increases, the changes in the housing price tend to be stable, or the more you move to the right

Machine Learning 3, machine learning

Machine Learning 3, machine learning K-Nearest Neighbor Algorithm for machine learning in PythonPreface I recently started to learn machine learnin

Machine learning system Design (Building machines learning Systems with Python)-Willi richert Luis Pedro Coelho

Machine learning system Design (Building machines learning Systems with Python)-Willi Richert Luis Pedro Coelho General statementThe book is 2014, after reading only found that there is a second version of the update, 2016. Recommended to read the latest version, the ability to read English version of the proposal, Chi

VC ++ learning methods and Book recommendations

questions about Windows development, please read Petzold's book. This book covers all aspects of Windows programming, including every element of Windows Programming (such as input, output and dialog box, graphics, multimedia, threads, documents and views, Internet, etc) the explanation is clear and concise. Most examples are representative examples. The Code style is good and practical. I think this

VC ++ learning methods and Book recommendations.

have any questions about Windows development, please read Petzold's work ." Famous saying . This book covers all aspects of Windows programming, including every element of Windows Programming (such as input, output and dialog box, graphics, multimedia, threads, documents and views, Internet, etc) the explanation is clear and concise. Most of the examples are representative examples, Code Good style and practical value. I think this

C language, four books, five classics-C language book recommendation

implementation for many mainstream compiler manufacturers. This book has almost done its utmost-the complete implementation source code of the C standard library is provided and explained one by one. This makes it eligible to be tied to K r c. Getting started I often wonder why there have been many excellent entry books in

Simple examples are used to understand what machine learning is, and examples are used to understand machine learning.

Simple examples are used to understand what machine learning is, and examples are used to understand machine learning. 1. What is machine learning? What is machine

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