machine learning exercises

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Machine Learning & Statistics Related Books _ machine learning

1. The complete course of statistics all of statistics Carnegie Kimelon Wosseman 2. Fourth edition, "Probability Theory and Mathematical Statistics" Morris. Heidegger, Morris H.degroot, and Mark. Schevish (Mark j.shervish) 3. Introduction to Linear algebra, Gilbert. Strong--Online video tutorials are classic 4. "Numerical linear algebra", Tracy Füssen. Lloyd and David. Bao Textbooks suitable for undergraduates 5. Predictive data analysis of machine

Typical Cases of Database SQL learning: exercises on scores of Professional Students

Typical Cases of Database SQL learning: exercises for scores of professional students; for one question ------ which students have chosen course 1 but not course 2? The following SQL statements are written in different ways ~ No mysqldescSC; + ------- + --------------- + ------ + ----- + --------- + ------- + | Field | Type | Null Typical Cases of Database SQL learning

Canvas Exercises and Learning notes (ii)

2016-11-06Canvas Exercises and Learning notes second articleFirst of all, the following is still my study of the basic canvas after some of the small exercises, source code you can access my github:https://github.com/fanyearClock https://fanyear.github.io/Canvas/Clock/index.html(magnifier) left mouse button https://fanyear.github.io/Canvas/Magnifier/index.htmlZoo

Machine learning Cornerstone (Lin Huntian) Notes of 12 __ machine learning

Nonlinear Transformation (nonlinear conversion) ReviewIn the 11th lecture, we introduce how to deal with two classification problems through logistic regression, and how to solve multiple classification problems by Ova/ovo decomposition. Quadratic hypothesesThe two-time hypothetical space linear hypothetical space is extremely flawed: So far, the machine learning model we have introduced is linear model,

PHP Learning Notes Array traversal exercises 1

Exercises One:Set array$attr = Array (Array ("n001", "Han"),Array ("n002", "Hui"),Array ("n003", "Miao"),Array ("n004", "Uighur"),);1. Require a drop-down list of styles to be displayed on the page/*foreach ($a as $v){echo "}?>foreach ($a as $v){echo "}*/?>2. Requires a Checkbox/radio list to be displayed on the pageforeach ($a as $v){Echo""}?>Inserting code1PHP2 $attr=Array(3 Array("N01", "Han"),4 Array("N02", "Hui"),5 Array("N03", "Miao")6 );7?>89PH

PHP Learning Path 2 (array exercises)

PHP Learning Path II (array exercises) For an array of exercises, PHP is different from Java and C + + He is a weak type of language, and PHP arrays are very powerful. It has both the properties of the array in Java and the purpose of the collection. ";//Traversal array, method two: Print variable print_r ($a); echo"";? > ' Http://www.sina.com ', ' baidu '

Shell learning: Several common shell exercises

-f ': ' $0~/abc/{print '} ' Test.log >/tmp/n.txtSort-n n.txt |uniq-c |sort-n >/tmp/n2.txtawk ' $1>10 {print $/tmp/n2.txt} '6. #! /bin/bashCheckip () {If echo $ |egrep-q ' ^[0-9]{1,3}\. [0-9] {1,3}\. [0-9] {1,3}\. [0-9] {1,3}$ '; ThenA= ' echo $ | Awk-f. ' {print '} 'B= ' echo $ | Awk-f. ' {print $} 'C= ' echo $ | Awk-f. ' {print $} 'D= ' echo $ | Awk-f. ' {print $4} 'For n $a $b $c $d; DoIf [$n-ge 255] | | [$n-le 0]; Thenecho "The number of the IP should less than 255 and greate than 0"Return 2F

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

Deep learning exercises multivariable linear regression

multivariable linear regression ( multivariate Linear Regression)Jobs from Links: http://openclassroom.stanford.edu/MainFolder/DocumentPage.php?course=DeepLearningdoc=exercises/ex3 /ex3.htmlThis time, the multivariate linear regression problem, the input eigenvector X is two-dimensional, one dimension represents the room area, one dimension represents the number of rooms, and the output Y is the price of the house.This time, try to find your own. Appr

Let's talk about the three-step learning strategy of basic HTML code: first glance, second note, and three exercises

of HTML code: first glance, second note, and three exercises. First, check the HTML code. In my impression, the first step of HTML code is analysis and viewing. The first step is a familiar process. We need to understand the components of HTML code through the first step, for example, when I first learned about hyperlinks, I first analyzed the letters at the beginning of the hyperlink. He does not need to include parentheses. Why does his Code contai

A summary of the exercises in "interesting learning Python Programming"

): Canvas.move (+) For x in range (0, $): Canvas.move (1, 0, 5) tk.update () time.sleep (0.05) #向左移动for x in range (0): Canvas.mov E (1, -5, 0) tk.update () time.sleep (0.05) #向上移动for x in range (0): canvas.move (1, 0,-5) Tk.update () time. Sleep (0.05) 3) Moving photos (gif format) Import timefrom tkinter Import *tk = TK () canvas = Canvas (tk, width = all, height = in) canvas.pack () myimg = Photoimage (fil E = "D:\\temp.gif") canvas.create_image (0, 0, anchor = NW, image = myimg) #向右移动for x i

False news recognition, from 0到95%-machine learning Combat _ machine learning

We have developed a false news detector using machine learning and natural language processing, which has an accuracy rate of more than 95% on the validation set. In the real world, the accuracy rate should be lower than 95%, especially with the passage of time, the way the creation of false news will change. Because of the rapid development of natural language processing and

Machine learning------Bole Online

: "Programming collective Intelligence", "Machine learning for Hackers", "Hackersand Data mining:practical Machine learning Tools and techniques (Python version, r version, and Java edition). If you feel confused, you can choose one of them to start learning. Progra

"Machine learning" describes a variety of dimensionality reduction algorithms _ Machine learning Combat

is all 0. And because it can be deduced that b=1nz∗zt=wt∗ (1NX∗XT) w=wt∗c∗w, this expression actually means that the function of the linear transformation matrix W in the PCA algorithm is to diagonalization the original covariance matrix C. Because diagonalization in linear algebra is obtained by solving eigenvalue and corresponding eigenvector, the process of PCA algorithm can be introduced (the process is mainly excerpted from Zhou Zhihua's "machine

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

Python Beginner Learning Basics Loop Structure Exercises

How many vowel letters are there?There is a string "I learn Python from Maya", we want to find out the vowel (aeiou) in it (actually find out these lowercase letters), and count the number of its vowel characters. At this point we can combine the conditional statement and the Loop statement to process the string.#sentence is a string that you need to count the number of vowels in this stringSentence ="I Learn Python from Mayacoder" #count is used to store the number of vowel lettersCount =0#wri

"Python" Programming Learning exercises-2

Tag: the sum () function provided by Python can accept a list and sum please write a prod () function to accept a list and use the reduce () to calculate the product:1 #Python提供的sum () function can accept a list and sum, write a prod () function, you can accept a list and use reduce () to calculate the product:Code:2 3 from Functools import reduce 4 Li = [1,2,3,4,5,7] 5 print (sum (LI)) 6 7 def prod (x, y): 8 return x * y 9 Ten R = Reduce (Prod,li) one print (R)Operation Result:[[email protected

Maven Learning Summary (ii)--maven project building process Exercises

pom.xml file for MAVEN conventionsHellofriend| --src| -----Main| ----------Java| ----------Resources| -----Test| ---------Java| ---------Resources| --pom.xmlAs shown in the following:  2, edit the project hellofriend root directory Pom.xml, add the following code: 1 3. Create a new file Hellofriend.java in the Src/main/java/me/gacl/maven directory, as shown in:  The code for Hellofriend.java is as follows:1 package Me.gacl.maven; 2 3 import Me.gacl.maven.Hello; 4 5 public class Hellofriend {6

Machine Learning FAQ _ Several gradient descent method __ Machine Learning

first, gradient descent method In the machine learning algorithm, for many supervised learning models, the loss function of the original model needs to be constructed, then the loss function is optimized by the optimization algorithm in order to find the optimal parameter. In the optimization algorithm of machine

Machine learning Cornerstone Note 10--machine how to learn (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

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