coursera science of

assigned to others, then the median is the score of each job. UW's two courses are videos of UW's class directly, and the homework of machine correction is boring. Therefore, Coursera's courses are also uneven and need to be screened, but the overall quality is still relatively high. I plan to take some social science courses now. I am waiting for the course class to begin with an English writing course and a philosophical entry-level course. The for

not know which corner to go around. The main line of this course is very, very clear! I just need to use Python to analyze the data. What about Python's power to put aside, please? The answer to this course is, yes. 4, the course has been completed, more than x cool PO main hair video sent one or two episodes and then do not know where to go to make people more comfortable. Please follow the rhythm step by step "complete" the Python "Data analysis" down. Nanjing University uses Python to pl

and does not start to talk about it. Instead, it goes straight to the next question, and the regular expression should be free to learn. This avoids the problem of having no idea which corner to go around as python learns more and more. The main teaching thread of this course is very clear! I only need to use python for data analysis. Can I put aside other powerful python functions first? The answer to this course is yes. 4. The course has been completed, which is much more comfortable than the

In Wednesday, we received mass mailings from the Coursera platform, to the effect that Coursera will completely close the Old Course platform on June 30, upgrade to the new course platform, some Old Course resources (course videos, course materials) will not be saved, if you have previously studied the relevant courses, or have the desired courses , Coursera reco

Week 3 Quizhelp Center Warning:the hard deadline has passed. You can attempt it, but and you won't be. You are are welcome to try it as a learning exercise. In accordance with the Coursera Honor Code, I certify this answers here are I own work. Question 1 Assume you are using a Unigram language model to calculate the probabilities of phrases. Then, the probabilities of generating the phrases "study text mining" and "text mining study" are not equal, i

friends, but also hope to get the high people of God's criticism!　　 　　 　　Preface　　[Machine Learning] The Coursera Note series was compiled with notes from the course I studied at the Coursera learning (Andrew ng teacher). The content covers linear regression, logistic regression, Softmax regression, SVM, neural networks, and CNN, among other things, and the main learning materials are from the machine lear

Sometimes we need to put some classic things in the collection, always aftertaste, and Coursera on some of the courses are undoubtedly classic. Most of the end courses in Coursera provide a complete set of teaching resources, including PPT, video and subtitles, which will be very easy to learn when offline. Obviously, we will not go to a file to download a file, Only fools do so, programmers are smart! Wha

Programmers who have turned to AI have followed this number ☝☝☝ Author: Lisa Song Microsoft Headquarters Cloud Intelligence Advanced data scientist, now lives in Seattle. With years of experience in machine learning and deep learning, we are familiar with the requirements analysis, architecture design, algorithmic development and integrated deployment of machine learning and AI products under various business scenarios. Wunda Coursera Deep Learni

( Reprinted)Computer science should be a cross-domain binary or multivariate Science Author: Li guojie Source:National People's Congress Economic Science Lab 1 . Find the interrupted "communication chain" The division of modern science disciplines is meticulous and segmented, But it blurs people's ove

This article mainly introduces the detailed process of Python crawling Coursera course resources. For more information, see some typical things, some Coursera courses are undoubtedly classic. Most of Coursera's finishing courses provide complete teaching resources, including ppt, video, and subtitles. it is very easy to learn offline. Obviously, we won't download a file or a file. it's just a fool. programm

Sometimes we need to collect some classic things, always aftertaste, and Coursera on some of the courses is undoubtedly classic. Most of the completed courses in Coursera provide a complete set of teaching resources, including PPT, video and subtitles, which will be very easy to learn when offline. It is obvious that we will not go to a file to download a file, Only fools do so, programmers are smart! What

of:sum(dat$Zip*dat$Ext,na.rm=T)(Original data Source:http://catalog.data.gov/dataset/natural-gas-acquisition-program)Question 4Read the XML data on Baltimore restaurants from here:Https://d396qusza40orc.cloudfront.net/getdata%2Fdata%2Frestaurants.xmlHow many restaurants has zipcode 21231?Question 5The American Community Survey distributes downloadable data about the states communities. Download The 2006 microdata survey about housing for the state of Idaho using Download.file () from here:Https

The course covers technology:Gradient descent, linear regression, supervised/unsupervised learning, classification/logistic regression, regularization, neural network, gradient test/numerical calculation, model selection/diagnosis, learning curve, evaluation metric, SVM, K-means clustering, PCA, Map Reduce Data Parallelism, etc...The course covers applications:Message classification, tumor diagnosis, handwriting recognition, autonomous driving, model optimization, OCR, etc...

What is the difference between data Mining (mining), machine learning (learning), and artificial intelligence (AI)? What is the relationship between data science and business Analytics? Originally I thought there was no need to explain the problem, in the End data Mining (mining), machine learning (machines learning), and artificial intelligence (AI) what is the difference, but a few days ago because of a learning brother asked me, I think I

On September 16, middle October, the first science and technology Festival of Yutian No. 1 Middle School in Tangshan city, with the subject of "Science, wisdom, innovation, and education" was held. In the context of scientific and technological innovation and intelligent manufacturing, Yutian No. 1 held this activity in conjunction with Beijing huitianwei Technology Co., Ltd. and Beijing Kunlun Sandi Techno

In China, Coursera is very choppy and often gets stuck when playing half of the video. I don't know why. Therefore, you can only download the file and view it again. There is a script on GitHub to open the link to download the entire course. It is very convenient to use. The method is as follows. Because this script uses multiple Python libraries, it is best to use the Linux system. I use Debian Wheezy and python2.7.3. Of course, you need a

Label: Ar c working time r as Rom net 5CATEGORY first, 1. skill category; 2. improvement category; 3. Interest category.I have completed the first six courses of Andrew Ng ml, UW computer network, and dataset cience on Coursera.In the future, the service will be guaranteed to be 25 hours a week, with an average of 2.5-3 hours per working day and 11 hours on weekends. In this way, three courses can be conducted at the same time in less than ten weeks, it also needs to be arranged according to the

Coursera-getting and Cleaning Data-week4Thursday, January,Make up the fourth week notes, and this course summary.The four-week course focuses on text processing. Inside includes1. Handling of variable names 2. Regular Expression 3. Date processing (see Swirl lubridate package exercise)First, the processing of variable names, followed by two principles, 1) uniform case tolower/toupper;2) Remove the import data, because special characters caused by the

1. What is a special course (specializations)?If you want to learn a major that you do not understand, you can study according to the special course arrangement. Coursera Special Course collects a field of curriculum, and according to the Order of teaching, it is very suitable for the new people who don't feel well.2. Program Design and algorithmThis special course is a computer Foundation course published by Peking University in

(Datasets) data (IRIS)#Exploratory Analysisnames (Iris) head (IRIS)#The following attempts to take Virginica,speal. The method of length is all wrongiris[,2]iris[iris$species=="virginica", 2]mean (iris[iris$species=="virginica", 2])##the above is Error,not correct##tapply (Test$sepal.length,test$species,mean)#using Species.mean to group vectors, this method is feasible, but the above method is necessary to look at the errorLibrary (Datasets) data (Mtcars) #以下为做某个题时的若干测试. And a trial-and-error l