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Notes of machine Learning (Stanford), Week 6, Advice for applying machine learning

regularization item, so when calling Linearregcostfunction, Lambda==0. MATLAB is implemented as follows (LEARNINGCURVE.M)function [Error_train, error_val] = ... learningcurve (X, y, Xval, yval, Lambda)%learningcurve generates the train and C Ross validation set errors needed%to plot a learning curve% [Error_train, error_val] = ...% learningcurve (x, y, X Val, Yval, Lambda) returns the train and% cross vali

C and C + + book recommendations

http://bestcbooks.com/recommend/most-influential-book/Http://www.ruanyifeng.com/blog/2011/09/c_programming_language_textbooks.htmlC Language Development Introduction and project Combat (C Language Learning Roadmap)-Tomorrow technology. pdfLearn to pass C language 24 lessons pdf+ source + Actual combat Ability Test Syst

"Python Machine learning Time Guide"-Python machine learning ecosystem

This article focuses on the contents of the 1.2Python libraries and functions in the first chapter of the Python Machine learning Time Guide. Learn the workflow of machine learning.I. Acquisition and inspection of dataRequests getting dataPandans processing Data1 ImportOS2 ImportPandas as PD3 ImportRequests4 5PATH = R'E:/python

C + + Book recommendations

+ + beginner with no programming experience, or a C + + beginner with other language experience, the following books are highly recommended. C + + Primer 1 Stanley lippman, Josée Lajoie, and Barbara E. Moo (updated to c++11) nearly 1000 pages, this book is a thorough introduction to

Machine learning in various distances __ machine learning

In machine learning, often need to calculate the distance between each sample, used for classification, according to distance, different samples grouped into a class; But in the current machine learning algorithm, the distance calculation mode is endless, then this blog is mainly to comb the current

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

Machine learning Cornerstone Note 14--Machine How to learn better (2)

Reprint Please specify source: http://www.cnblogs.com/ymingjingr/p/4271742.htmlDirectory machine Learning Cornerstone Note When you can use machine learning (1) Machine learning Cornerstone Note 2--When you can use

"0 Basic Learning QT 4 Programming" a book reading guide for your reference. __qt

reader who wants to learn programming by learning QT ★ have mastered the C + + language, want to learn more about QT Programming readers ★ Beginner Programmer working on QT program development ★ Have a certain QT development experience, want the system to learn QT program reader The content of this book is organized The

From the C + + book.

wrong book, the beginning of a few words and "effective STL" similar. have expressed their desire to write about the template/stl content, but for a variety of reasons failed to achieve. The order was written in 2000, and a year later Scott published his own book, effective STL. Bruce Eckel's Programming ideasBruce Eckel has two big Ming "Think in C + +", "

Python Machine Learning Theory and Practice (5) Support Vector Machine and python Learning Theory

Python Machine Learning Theory and Practice (5) Support Vector Machine and python Learning Theory Support vector machine-SVM must be familiar with machine learning, Because SVM has alwa

Use Python to master machine learning in four steps and python to master machines in four steps

Use Python to master machine learning in four steps and python to master machines in four steps To understand and apply machine learning technology, you need to learn Python or R. Both are programming languages similar to C, Java, and PHP. However, since Python and R are bot

Learning software Development should read the book

Learning software Development should read the bookSource: The log of Li Yue Jia 1. C Language Promotion"C and Pointers"C Defects and pitfalls"C Expert Programming"This three book is a junior C

Is there a book like "C and Pointers" and "c expert programming" in Python?

Study C When carefully read the two books, a sense of epiphany, began to have a more profound understanding of C. Now that you're learning python, you've gone through the quick tutorials and the official manuals to write some simple programs. At present, the main flask is to look at the tutorial code, I plan to flask more familiar with the beginning to read flask

Machine learning and artificial Intelligence Learning Resource guidance

", a book written by Chinese scientists, is quite understandable.6. "Managing gigabytes", a good book of information retrieval.7. "Information theory:inference and Learning Algorithms", reference books, relatively deep.Relevant mathematical basis (reference books, not suitable to read through):1. Linear algebra: This reference

Machine learning Cornerstone Note 9--machine how to learn (1)

Reprint Please specify source: http://www.cnblogs.com/ymingjingr/p/4271742.htmlDirectory machine Learning Cornerstone Note When you can use machine learning (1) Machine learning Cornerstone Note 2--When you can use

[Machine learning & Data Mining] machine learning combat decision tree Plottree function fully resolved

of the current node is the middle half of the distance of all its leaf nodes is float (NUMLEAFS)/2.0/plottree.totalw* 1, but since the start Plottree.xoff assignment is not starting from 0, but the left half of the table, so also need to add half the table distance is 1/2/plottree.totalw*1, then add up is (1.0 + float (numleafs))/2.0/ Plottree.totalw*1, so the offset is determined, then the X position becomes Plottree.xoff + (1.0 + float (numleafs))/2.0/PLOTTREE.TOTALW3, for Plottree function p

[resource-] Python Web crawler & Text Processing & Scientific Computing & Machine learning & Data Mining weapon spectrum

say. However, two books are recommended for those who have just contacted NLTK or need to know more about NLTK: One is the official "Natural Language processing with Python" to introduce the function usage in NLTK, with some Python knowledge, At the same time the domestic Chen Tao classmate Friendship translated a Chinese version, here you can see: recommended "natural language processing with Python" Chinese translation-nltk supporting book; another

Support Vector Machine-machine learning in action learning notes

p.s. SVM is more complex, the code is not studied clearly, further learning other knowledge after the supplement. The following is only the core of the knowledge, from the "machine learning Combat" learning summary. Advantages:The generalization error rate is low, the calculation cost is small, the result is easy to ex

Artificial Intelligence 60: a good book to introduce the depth of learning _ Original

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

The ultimate guide to Oracle's C PL (SQL) programming, a weekly book

Tags: array rar organization Throw exception build log job schedule exec expressionThis week's book is the Ultimate guide to Oracle's C PL (SQL) programming, published by the mechanical industry press, Sun Fingdong, Wang Yu, Guo Xiaohui. Content Introduction: The ultimate guide to Oracle 12c PL/SQL is the most systematic, comprehensive, practical and authoritative

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