coursera cs50

------------------------------------------------------ After reading Algorithm For a long time, I have not had a good understanding of the red and black trees. I have guided me to read the algorithm and the Open Class on Coursera, so I have a good understanding of it. Now I want to write it down and share it with you. 2-3 Search Tree Although the Binary Search Tree solves most search problems, the performance in the worst case is still poor (~ N) t

edx--Online to learn the finest courses in the world's top universities. www.edx.org/coursera--learn the best courses in the world, online and free Oh ~ www.coursera.orgcoursmos--Learn micro-courses anytime, anywhere, on any electronic device. Www.coursmos.comhighbrow--A micro course that can be easily digested every day from your email. www.gohighbrow.com/skillshare--Unleash your creativity through online classrooms and projects. Www.skillshare.comcu

at:http://droid-blog.net/become-a-sponsor/#sthash. Rodmfob9.dpuf coursera.org Coursera is committed to popularizing the best education in the world, working with top universities and institutions to provide free courses to all. Of course, there are a lot of Android courses. Commonsware.com CommonsWare ' s mission is to help people and organizations work better Together through cooperation, w

Coursera Data Analysis Instance--r language How to classify spam messagesStructure of a Data analysis Steps for data analysis L DEFINE the questionL DEFINE the ideal data setL Determine what data can accessL Obtain the dataL CLEAN the dataL Exploratory Data analysisL Statistical Prediction/modelL Interpret resultsL Challenge ResultsL Synthesize/write up resultsL Create Reproducible Code A sample 1) problem.Can I automatical

http://52opencourse.com/111/Stanford University--language model (language-modeling)--Class IV of natural language processingI. Introduction of the CourseStanford University launched an online natural language processing course in Coursera in March 2012, taught by the NLP field Daniel Dan Jurafsky and Chirs Manning:https://class.coursera.org/nlp/The following is the course of the study notes, to the main course ppt/pdf, supplemented by other reference

Deep Learning SpecializationWunda recently launched a series of courses on deep learning in Coursera with Deeplearning.ai, which is more practical compared to the previous machine learning course. The operating language also has MATLAB changed to Python to be more fit to the current trend. A study note on this series of courses will be made here.The deep learning specialization is divided into five courses, namely: Neural Networks and deep learning,im

Code check tool pylintVS Code by default (in Ctrl +, after adding "python.linting.pylintEnabled" to the right User Configuration : False)　　Python Learning Guide1. Liu Xuefeng's blog more detailed, can be used as a basic grammar and novice Project reference: Python Tutorial-Liaoche2. Recommend the turtle's introductory video, you can search at station B, etc.3. There is a course on Coursera to play with Python: Getting Started with Python interactive

Recently want to learn the RBM (limit Boltzmann machine), find Hinton in Coursera on the neural Network course, first review Hopfield network bar.Hopfield Nets with Hidden Unithttps://class.coursera.org/neuralnets-2012-001/lecture/125In simple terms, the state of the hidden node is used to express the information of the input node,For example, an edge in a two-dimensional image may correspond to no number of edges in the three-dimensional world,If eac

This blog post is a course note for Prof. Andrew Ng, and interested friends can find it in Coursera or NetEase open class.Supervised learningis an example of supervised learning regression analysis. The chart is designed to predict house prices.For this scenario, the training set has a tag attribute. For example, each point in the diagram corresponds to the price of the house, and supervised learning is to look for patterns in these known training cen

Machine learning Notes (iii) multivariable linear regression Note: This content resource is from Andrew Ng's machine learning course on Coursera, which pays tribute to Andrew Ng. One, multiple characteristics (multiple Features)The housing price problem discussed in note (b) only considers a feature of the size of the house: This is only a single characteristic of the data, it is often difficult to help us accurately predict the price

of Princeton University in Coursera, the opportunity to learn to build a development environment using vagrant, the following is an introduction to the development steps:1. Install Vagrant and VirtualBox: Select the appropriate operating system for software download according to the address given in the course, for Linux you can use the LSB_RELEASE-A command to view the operating system version and then download the appropriate Deb file.Then use the

Java classes and Interfaces practice--coursera Java Course Jobs1, note that the code should use the grammatical elements required in the topic;2, pay attention to good code style;3, attention to submit the entire project, upload compressed attachments, mutual evaluation can be successfully executed;4, pay attention to write a brief code description (please explain the use of the IDE, etc.);Write a small program that defines interfaces, classes, abstra

write in front of the words: occasionally hear someone for which programming language is superior or inferior argument, and sometimes hear someone to choose which programming language to be confused. Some people may tell us: "Do not go to the door of which programming language, have that time than to learn the language." "But still feel that this kind of reply can not let a person's inner peace, in order to be able to from the bottom of my heart to struggle with these problems, I think we should

Hello everyone, I am mac Jiang, first of all, congratulations to everyone Happy Ching Ming Festival! As a bitter programmer, Bo Master can only nest in the laboratory to play games, by the way in the early morning no one sent a microblog. But I still wish you all the brothers to play happy! Today we share the coursera-ntu-machine learning Cornerstone (Machines learning foundations)-Exercise solution for job two. I encountered a lot of difficulties in

Hello everyone, I am mac Jiang, today and everyone to share Coursera-stanford university-machine Learning-week 10:large scale machine learning after the class exercise solution. Although my answer passed the system test, but my analysis is not necessarily correct, if you bo friends found wrong or have a better idea, please leave a message contact, thank you. Hope my blog is helpful to your study!This unit, Wunda teacher mainly said five aspects of the

/blog/2014/04/03/start-learning-android/Book recommendationFirst of all, I do not have a very systematic way to read a book, so I also search, or really know what others recommend, so, according to their own situation, suitable for their own books to see;The Busy coder ' s Guide to Android DevelopmentHttp://commonsware.com/Android/This is Daniel Commonsguy open source Book, it's updated very timely, basically is the SDK update, download PDF can be here (Four-to-free Guarantee http://commonsware.

is a wiki site, so anyone can edit and modify its pages. 5. The Codeplayer There's an interactive presentation that tells you how people build things from scratch, and after you become a programmer, you can also take your step-by-step presentations and tell people how you learn to program. 6. Coursera This top-tier online education platform has online resources from universities and professors from 62 universities. It also supports English, S

values of each eigenvalue have the same scale range, so that the influence of each eigenvalue is the same.How do I set the value of λ? By selecting a different λ to repeat the test process, a λ that minimizes the prediction error is obtained. The best value can be obtained by cross-validation-the sum of squared errors is minimized on the test data.Ridge regression was first used to deal with more than a sample number of features, and is now used to add human bias to the estimate, thus obtaining

Large Data Digest Authorized reprint Author: Huanghai Since August 2016, Wunda's start-up deeplearning.ai through Coursera to provide the latest online course of in-depth learning, and by February, Miss Wu updated the fifth part of the course (click to view the report of the large Data Digest), which takes six months. This article will focus on the fourth week of teacher Wunda's video content and notes, showing some important convolution neural netw

introduction to depth learning, the best I've encountered is Deep Learning with Python. It doesn't go deep into difficult math, nor does it have a long list of prerequisites, but describes a simple way to start a DL, explaining how to quickly start building and learn everything in practice. It explains the most advanced tools (Keras,tensorflow) and takes you through several practical projects to explain how to achieve the most advanced results in all the best DL applications. Google also has a