1. Translating Java Classes to Scala ClassesExample 1:inch Javapublic class book{}# Scala equivalent of a class Declarationclass bookExample 2:# A Java class with a Construtorpublic class book{ int ISBN; Private final String title; Public book (int ISBN, String title) { = ISBN; = title; } int GETISBN () { return ISBN; } Public String GetTitle () { retu
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
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 video can be viewed or downloaded on Coursera
NTU-Coursera ml: HomeWork 1 Q15-20Question15
The training data format is as follows:
The input has four dimensions, and the output is {-1, + 1 }. There are a total of 400 data records.
The question requires that the weight vector element be initialized to 0, and then "Naive Cycle" is used to traverse the training set. When the iteration is stopped, the weight vector is updated several times.
The so-called "Naive Cycle" means that after an error i
This series is a personal learning note for Andrew Ng Machine Learning course for Coursera website (for reference only)Course URL: https://www.coursera.org/learn/machine-learning Exercise 7--k-means and PCA
Download coursera-Wunda-Machine learning-all programming practice answers
In this exercise, you will implement the K-means clustering algorithm and apply it to compressed images. In the second section, y
the rest planned to be migrated.
* In addition, wattzon has publicly announced that its entire platform has been written based on Scala infrastructure.
* The UBS Group uses Scala for general products.
* Coursera (famous educational video website) uses Scala as a server language.
Main features:
* Object-Oriented Prog
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
[Big data from introductory to discard series tutorial] in Idea's Java project, configure and join Scala, write and run Scala's Hello WorldOriginal link: http://www.cnblogs.com/blog5277/p/8615984.htmlOriginal Author: Blog Park------Click on the menu below to view Big data Getting started all tutorialsBig data from getting started to giving upUrl:Http://www.cnblogs.com/blog5277/category/1179528.htmlSplit ***********************************In fact, the
The main contents of this section
About Scala
Why to learn Scala
Scala language Preliminary
1. Introduction to ScalaThe Scala (Scala language abbreviation) language is a common programming language that runs on both the JVM and the. NET platform and can
Numeric type of 1.ScalaScala's numeric types are similar to Java's, and their scope is consistent with Java. Unlike Java, they are objects and are instances of the corresponding numeric classes. Scala provides powerful support for these numeric types through rich-Wrapper classes.1.1. Numeric typeScala's numeric type and range of values are shown in the table below.
Boolean:true or False
Byte:8 bit, signed (2-7 ~ 27-1)
Short:16 bit, si
---------------------Preface---------------------Project relationship and want to do data analysis and image display with Spark GRAPHX, but only if Spark;spark is based on Scala, Scala is Java based ...So, in the case of Spark GraphX, the technology stack should generally be like this: Spark GraphX----, Scala, Java Java has been so many years ...Let's just say th
Tags: mirrored variable probabilities out language development Environment SDN path Java versionI. Introduction of Scala1. Processing big data with sparkThis is one of the main applications of Scala, and Spark is also written in Scala.2. Script language version of JavaYou can write Scala scripts directly, or you can use Scala
Operating system Learning notes----process/threading Model----Coursera Course note process/threading model 0. Overview 0.1 Process ModelMulti-Channel program designConcept of process, Process control blockProcess status and transitions, process queuesProcess Control----process creation, revocation, blocking, wake-up 、...0.2 threading ModelWhy threading is introducedThe composition of the threadImplementation of threading mechanismUser-level threads, c
full implementation of multi-layered neural network recognition picture of the cat Original Coursera Course homepage, in the NetEase cloud classroom also has the curriculum resources but no programming practice. This program uses the functions completed in the last job, fully implementing a multilayer neural network, and training to identify whether there is a cat in the picture. There is no comment in the Code and Training test data download Cod
The main contents of this section
Scala class Hierarchy Overview
How to implement the native type of Scala
Nothing, NULL type resolution
Traits Introduction
Traits several different ways to use
1 Scala class hierarchiesThe class hierarchy chart in Scala is as follows:Source: Programming in
regression.
The root number can also be selected based on the actual situation.Regular Equation
In addition to Iteration Methods, linear algebra can be used to directly calculate $ \ matrix {\ Theta} $.
For example, four groups of property price forecasts:
Least Squares
$ \ Theta = (\ matrix {x} ^ t \ matrix {x}) ^ {-1} \ matrix {x} ^ t \ matrix {y} $Gradient Descent, advantages and disadvantages of regular equations Gradient Descent:
Desired stride $ \ Alpha $;
Multiple iterations are requ
Original title:Given Arrays a[] and b[], each containing n distinct 2D points in the plane, design a subquadratic algorithm to count The number of points that is contained both in array a[] and array b[].The goal of the topic is to calculate the number of duplicate point, very simple, the code is as follows1 ImportJava.awt.Point;2 Importjava.util.Arrays;3 ImportJava.util.HashSet;4 ImportJava.util.Set;5 6 ImportEdu.princeton.cs.algs4.StdRandom;7 8 Public classplanepoints {9 PrivatesetNewHash
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