coursera machine learning certificate

In Coursera Stanford Machine Learning,lecturer strongly recommended open source programming environment octave Start, so I also downloaded to try itReference Link: http://www.linuxdiyf.com/linux/22034.html******************************************************************************Installation (Ubuntu16.04): I saw the Xia Guan Web, Ubuntu has been updated to 4.0

distribution, in accordance with the joint distribution of the query, we can obtain pi.Q's design is said to be a value of 60W knife annual salary job, dare not to speculate. Here we assume that Q is given (UNIFORM/SW) **********************************************The MH sampling process is as follows:1, given assignment, according to the F to find Pi (Assignment)2, according to the above formula to calculate the acceptance probability a3, decide whether to accept, complete the sampling update

= Sign (AI) Where AI is not equal to 0 (we ignore AI equal to 0) and YJ =-1. The sensor model cannot generate the classification. If both sides of the preceding equation are multiplied by W (parameter), YI = Sign (wxi) and Yi = Sign (AI), so sign (wxi) * sign (AI)> 0. So we have the right side of the equation multiplied by W must be greater than 0, so wxj must be greater than 0, so YJ = Sign (wxj) = + 1, there is no way to generate YJ =-1 classification, so we can prove that DVC In summary, we

and C is what relationship is not clear ... Now it's clear, though not necessarily. The teacher of the lecture is very good, also very responsible for personally answer the questions of students, recommend everyone listen to. Unfortunately, there are two jobs are not completed, the certificate cannot get (because ...)In the middle of the marriage, you did not see the wrong, this flag I dare to plug in, but learni