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ESL Podcast Blog» What is ESL Podcast? HOME> What is ESL Podcast? What is ESL Podcast? What is a podcast?A podcast isAudio fileThat you download from the Internet. after you download it, you can listen to it on your computer or on an MP3/portable music player (for example, an iPod or iRiver ). you can subscribe to

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Bootstrap IntroductionBootstrap vs. css, JSJust like ppt template relative to PPTPlainly, the predecessors have done a lot of templates (pre-build), you can directly take doctrineBootstarp 4Ways to use it1. DownloadYou'll see a bunch of filesBootstarp.min.css means they is minified2. CDN (Content Delivery Network)We can directly copy this code into index.htmlBecause JS would is read after CSS, it is put in the bottom of body part123456 789Ten $ - - theThen beautiful Navbar is shownUse the same s

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changes.At the top left, click on the logo with PoniterCan see the various modules of the Web page, you can change the moduleIt's like we changed the HTML, CSS, JS file that Google server had previously passed.Once we reques Google Server again,Then the interface will revert to the HTML, CSS, and JS files from Google Server as shown (e.g.)The Internet BackboneWe have Wifi from routerRouter is connected-to-modem (If you are an up-to-the-Internet, you are someone come to your house and install it

WWW vs InternetFor the begining, Internet is there. It is for the academics among universitiesThen they need a-share documents in the whole worldLee created WWW which is the common langauge that computers can speakYou can think Internet as your phoneWWW as an app the runs on your phoneLee created the first browser and the first server and the first Web siteThis is the first page in the world he wrote in 1991.What a cold wind!HTML, CSS, JavescriptHtml:text and links (for example, the whole web is

if (*alloc = = swig_newobj) #endif { *cptr = Reinterpret_ca st *alloc = swig_newobj; } Else { *cptr = CStr; *alloc = Swig_oldobj; } } else { *cptr = pystring_asstring (obj); } } if (psize) *psize = len + 1; return SWIG_OK; } else { swig_type_info* pchar_descriptor = Swig_pchar _descriptor (); if (pchar_descriptor) { void* vptr = 0; if (Swig_convertptr (obj, vptr, pchar_descriptor, 0) = = SWIG_OK) { if (cptr) *cptr = (char *) vptr; if (psize) *psize = vptr? (Strlen (char *) vptr) + 1):

Topic Preparation $x _i\sim N (0,1) $, with $\sum_i^n x_i^2 \sim \chi^2 (N) $Where $n$ is called the degree of freedom, the mean value of chi-square distribution is its degree of freedom $x _i\sim N (\mu_i,\sigma_i^2) $, with $\sum_i a_ix_i \sim N (\sum_i a_i\mu_i,\sum_ia_i^2\sigma_i^2) $The linear and the N normal distribution variables still conform to the normal distribution Calculate the length of vector b projected onto vector x T, $t =|b|cos\theta=|b|\frac{x^tb}{|x| | b|} =\frac

^2e (\sum_i a_i^2) +0=\sigma^2e\left (X_0^t\left (x^tx\right) ^{-1 }x^tx\left (x^tx\right) ^{-1}x_0\right) \ \ =\sigma^2e\left (X_0^t\left (x^tx\right) ^{-1}x_0\right) $ Question 2.8 Get ready Suppose $e (x^{(i)}) =0,i=1...p$, which is the expectation of 0 for each dimension$X ^tx$ Get the matrix of $p\times p$$X _{:i}$ represents the $x$ column, which is the first dimension of the input portion of the training set $i$$X _{:i}^tx_{:i}=\sum_j^n {x_j^{(i)}}^2=n\ \frac{1}{n}\su

Bias, variance and Model complexity The predicted value and the real merit are two kinds of functions generally: The error of inspection or generalization is the prediction error on independent prediction Sample: There are two objectives for

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, the more important of the other indicators is the equivalent series resistance (ESR). Some capacitors have a gold ribbon line printed with a large hollow letter "I", which indicates that the capacitor belongs to the LOWNBSP;ESR low loss capacitance. Some capacitors also have an ESR value (equivalent series resistance), the lower the ESR, the smaller the loss, the greater the output current, the higher the quality of the capacitor. The esr is the abbreviation for Equivalentseriesresistance, th

The content in this section is from Pro Java 7 nio.2, which is a type of Path, which is a category in the Nio.2, and is compared with the convenience of using the java.io in the conventional system, and is organized as follows: Defining a path getting info about a path From the following program and output, to explain the use of the Path category.1 PackageIdv.steven.nio2.path;2 3 ImportJava.nio.file.Path;4 Importjava.nio.file.Paths;5 6 Public classNormalize {7 8 Public Stat

; especially in high-frequency environments, it is more like the electrical characteristics of inductance. We all know that the actual capacitance model is simply built with capacitance, resistance, and inductance. In addition to the capacity C of the capacitor, it also includes the following parasitic parameters:1. equivalent series resistance (resr): The equivalent series resistance of the capacitor is composed of the pin resistance of the capacitor and the equivalent resistance of the two pla

have the expected effect of noise filtering and is helpless in the face of stubborn electromagnetic noise. One reason for this is that the effect of capacitor leads on the bypass effect is ignored. As shown in the Circuit Model 4-7 of the actual capacitor, it is a series network consisting of an equivalent inductance (ESL), a capacitor and an equivalent resistance (ESR. The impedance of the ideal capacitor decreases with the increase of the frequency

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