coursera aws

AWS's Ubuntu Host login user is UbuntuLog in only by secret keyIf the remote login via SSH on the Linux terminal is as follows:If you apply for EC2 host download Key name is called My-key.pem, and saved in the local Linux host/home/key below1. Use the chmod command to ensure that your private key is not publicly visiblechmod /home/key/my-key.pem2.ssh -i/home/key/my-key.pem [email protected]3. The following content appears, direct yes' xxxxxxxxx ' can't be established. RSA Key fingerprint is wa

=" Wkiom1itpzbqa5tqaaa20m4c6oi741.png "/>Since I created RDS here using the default parameter group, if you want to correlate the parameter group you need to compare, see if there are any other parameters changed to ensure that RDS does not have problemsParameter comparison650) this.width=650; "src=" Https://s3.51cto.com/wyfs02/M00/8D/E0/wKioL1itp1rDgoTjAABaiwj-XBw083.png "title=" Parameter comparison. png "alt=" Wkiol1itp1rdgotjaabaiwj-xbw083.png "/>5. Verification650) this.width=650; "src=" Ht

For more details on deploying data for RDS, importing and exporting, see [official documentation].To deploy data for RDS, it is important to note that the RDS database only has 1521 ports open, so all operations can only be done through a 1521 port database connection.1 Exporting dataIn the source database:--查看数据库目录：select * from dba_directories t;--数据导出(操作系统命令行执行，而不是数据库SQL命令行)：expdp TESTDB/TESTDB schemas=TESTDB dumpfile=expdp.dmp directory=DATA_PUMP_DIR2 Create a tablespace, user, and authoriza

5.1 Section cost FunctionThe cost function of a neural network.Review some of the concepts in neural networks:L the total number of layers of the neural network.Number of units of the SL-L layer (excluding deviation units).Category 2 Classification

You can access the Google drive containing all of the current and in-progress lecture slides for this course through the L Ink below. Lecture Slides You could find it helpful to either bookmark this page or download the slides for easy

You can access the Google drive containing all of the current and in-progress lecture slides for this course through the L Ink below. Lecture Slides You could find it helpful to either bookmark this page or download the slides for easy

This section describes the core of machine learning, the fundamental problem-the feasibility of learning. As we all know about machine learning, the ability to measure whether a machine learning algorithm is learning is not how the model behaves on

Extremely light of a semester finally passed, summer vacation intends to learn the big step down this machine learning techniques.The first lesson is the introduction of SVM, although I have learned it before, but I heard a feeling is very rewarding.

This section is about overfitting, listening to the understanding of overfitting more profound than before.First introduced the overfitting, the consequence is that Ein is very small, and eout is very large. Then the causes of overfitting are

This section is about regularization, in the optimization of the use of regularization, in class when the teacher a word, not too much explanation. After listening to this class,To understand the difference between a good university and a pheasant

-Feature ScalingWhen we are faced with multidimensional feature problems, we need to ensure that the multidimensional features have similar scales, which will help the gradient descent algorithm to converge faster.Take the housing price forecast

-Cost functionFor the training set and our assumptions, we will consider how to determine the coefficients in the assumptions.What we are going to do now is to choose the right parameters, and the selection of parameters directly affects the

Vi. Logistic Regression (Week 3)-ClassificationIn the classification problem, what we try to predict is whether the result belongs to a certain class (for example, correct or error). Examples of classification problems include determining whether an

Anomaly Detection and Recommender SystemsThis week's programming job is divided into two parts: anomaly detection and referral system.Anomaly Detection: The essence is to use the Gaussian distribution of the sample to the special value to estimate

The origin of Neural network Considering a nonlinear classification, when the number of features is very small, the logical regression can be completed, but when the feature number becomes larger, the higher order term will be exponential growth,

Building your recurrent neural network-step by step Welcome to Course 5 ' s-A-assignment! In this assignment, you'll implement your The recurrent neural network in NumPy. Recurrent neural Networks (RNN) are very effective for Natural Language

The recent Wunda study of the five-door sequence model finally came out, I took some time, just completed the course, I have to say, Ng's fifth Class I am still very satisfied with the video and the work is very good, the job content is also very

1. How to become a better learner metaphor and analogy helps to learn without jealousy genius 1. How to become a better learner the biggest gift for your brain is exercising more. we used to think that the brain was basically stereotyped after

Mini-project Description-rock-paper-scissors-lizard-spockRock-paper-scissors is a hand game this is played by the people. The players count to three in unison and simultaneously "throw" one of the three hand signals this correspond to rock, paper O

Mini-project description-"Guess the number" gameOne of the simplest two-player games is "Guess the number". The first player thinks of a secret number in some known range while the second player attempts to guess the number. After each guess, the