lynda vs coursera

There is a total of n courses you have to take, labeled from 0 to n - 1 .Some courses May has prerequisites, for example to take course 0 you have to first take course 1, which is expressed as a Pair[0,1]Given the total number of courses and a list of prerequisite pairs, are it possible for your to finish all courses?For example:2, [[1,0]]There is a total of 2 courses to take. To take course 1 should has finished course 0. So it is possible.2, [[1,0],[0,1]]There is a total of 2 courses to take.

There is a total of n courses you have to take, labeled from 0 to n - 1 .Some courses May has prerequisites, for example to take course 0 you have to first take course 1, which is expressed as a Pair[0,1]Given the total number of courses and a list of prerequisite pairs, are it possible for your to finish all courses?For example:2, [[1,0]]There is a total of 2 courses to take. To take course 1 should has finished course 0. So it is possible.2, [[1,0],[0,1]]There is a total of 2 courses to take.

regression is not very different (if you are interested, you can observe Andrew Ng in his Coursera machine learning course on how to drive SVM from logistic regression). One of the main reasons for using SVM instead of logistic regression may be because your problem is linearly non-divided. In this case, you will have to use a SVM (such as RBF) with a nonlinear kernel. In fact, logistic regression can also be used with different cores, but for practi

How it works (The goal is to open resources to everyone without assessment) This is different from a standard MOOC. The materials presented here correspond to the advanced Summer School organized by Caltech and JPL, held on Sept. 2-12,201 4. here we are presenting the instruction materials, for your own self-guided study, on your own schedule. there are no quizzes, exams, grading, or certificates; our goal is simply to be a learning resource that is open to anyone.(A total of nine courses are pe

The following content is derived from machine learning on Coursera and is based on Rachel-Zhang's blog (http://blog.csdn.net/abcjennifer) In the previous section, we talked about the situation where only one feature exists. Next we will talk about multiple features. (1) Examples of multiple features and cost functions of multiple features and the obtained function H (2) Comparison of Single-feature and multi-feature gradient algorithms: (3

The following content is derived from machine learning on Coursera and is based on Rachel-Zhang's blog (http://blog.csdn.net/abcjennifer) After talking about the two common methods of logisitc regression and linear regression, we need to learn more about other machine learning methods considering some disadvantages, Abstract: (1) (2): it helps us understand some basic concepts of neural networks; (3) (4) neuronsandThe brain I II: Working Principle

. In initial conditions, the value of the invalid state is 2, and the value of the valid state is 1. Given an infinite loop: Map For state I, the first component of the key is belong [I], the other component is belong [trie [I] [0], belong [trie [I] [1], ..., The vector corresponding to belong [I] [6]. value contains I. This way, all States are distinguished by keys. Then traverse the map again. For a key, allocate the same belong value for all States corresponding to the value. If the number of

ways to monetize their applications. there is only one ad space on the top right on the whole blog which guarantees maximum attention for your ad. -See more: http://droid-blog.net/become-a-sponsor/#sthash.roDmfOb9.dpuf Coursera.org Coursera strives to popularize the best education in the world and works with top universities and institutions to provide free courses to everyone. Of course, there are also many Android courses. Commonsware.com

one or more smartphones, tablets, laptops (questionnaires, 256 questionnaires), the major MOOC platform, has released the app, convenient mobile learning. A large number of high-quality MOOC learning resources (NetEase Cloud Classroom, Academy online, Chinese university MOOC, Coursera, Udacity, edx, etc.), students have a convenient learning tools, learning Platform app, Rich community learning experience (Shell Mooc College), (5) A large number

language processing, intelligent recommendation, and other fields. Deep learning requires a certain amount of mathematical foundation, including calculus and linear algebra. When I hear these courses, I think of the nightmare of college. In fact, I only use a very basic concept, no worries. However, if a book is written as soon as it comes up, there may be a strong fear and it is easy to give up early. Andrew Ng (Andrew Ng)'s deep learning video course I think is a very good entry material. F

Outline of the software and hardware interface Course Coursera course the hardware/software interface is a course provided by the University of Washington. I think it is very practical for students who want to learn programming. The teaching environment is fedora, which introduces some frequently used tools.Course outline This course will let students know exactly what happened during software execution and explain how this problem can be answered t

On Coursera, Web Intelligence and big data finally deployed hw7, which requires prediction of a series of DNA sequences. The details are as follows: Data analytics assignment (for hw7) predict the ethnicity of individuals from their genes ========================================================== ==== It is now possible to get the DNA sequence of an individual at a reasonable cost. an individual's genetic make-up determines a numberof charactersistic

, internal, and even polymorphism methods ). It is also worth mentioning that Scala is specially designed to be able to interoperate with Java and. NET. Scala's current version cannot run on. NET (although the previous version can be-_-B), it can run on. NET in the future as planned.Scala can interoperate with Java. It uses the scalac compiler to compile the source file into a Java class file (that is, the bytecode that runs on the JVM ). You can call all Java class libraries from Scala, or

------------------------------------------------------ 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