coursera machine learning python

randomly groups the data to the extent that training intensive accounts for 70% of the original data (this ratio can vary depending on the situation), and the test error is used as the criterion when selecting the model. The question comes from the Stanford University Machine Learning course on Coursera, which is described as follows: the size and price of the

be struggling. So the bean leaf emphasizes the importance of a good foundation. Once you have mastered the basics of mathematics, your understanding of these models can easily transcend the formula itself.The difference between deep knowledge and shallow knowledgeBean leaves think that when we learn knowledge, we should learn to differentiate, what is deep knowledge (knowledge), what is shallow knowledge (shallow knowledge).Some knowledge is shallow knowledge, only need to remember to know. But

trainingI've implemented this pseudo-code in Python. If necessary, refer to [here]Valve value_ Hint, this section for this article does not have much help, mainly for the next article, Multilayer awareness machine to do bedding _For each perceptron is an activation threshold that is capable of performing an action when the parameter reaches the threshold. So how do you determine this threshold?The threshol

Today we share the coursera-ntu-machine learning Cornerstone (Machines learning foundations)-exercise solution for job three. I encountered a lot of difficulties in doing these topics, when I find the answer on the Internet but can not find, and Lin teacher does not provide answers, so I would like to do their own ques

Hello everyone, I am mac Jiang, today and everyone to share the coursera-ntu-machine learning Cornerstone (Machines learning foundations)-Job three q6-10 C + + implementation. Although there are many great gods in many blogs have given the implementation of Phython, but given the C + + implementation of the article is

Hello everyone, I am mac Jiang, today and everyone to share the coursera-ntu-machine learning Cornerstone (Machines learning foundations)-Job three q18-20 C + + implementation. Although there are many great gods in many blogs have given the implementation of Phython, but given the C + + implementation of the article is

Hello everyone, I am mac Jiang, today and you share the coursera-ntu-machine learning Cornerstone (Machines learning foundations)-job four of the exercise solution. I encountered a lot of difficulties in doing these topics, when I find the answer on the Internet but can not find, and Lin teacher does not provide answer

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

emerging. The text of the formula looks a bit around, below I send a detailed calculation process diagram.Refer to this: Http://www.myreaders.info/03_Back_Propagation_Network.pdf I did the finishing Here is the calculation of a record, immediately update the weight, after each calculation of a piece is immediately updated weight. In fact, the effect of batch update is better, the method is not to update the weight of the case, the record set of each record is calculated once, the added valu

clustering. Select the appropriate machine learning task for a potential application. Apply regression, classification, clustering, retrieval, recommender systems, and deep learning. Represent your data as features to serve as input to machine learning models.

Machine Learning-multiple linear regression and machine Linear Regression What is multivariate linear regression? In linear regression analysis, if there are two or more independent variablesMultivariable linear regression). If we want to predict the price of a house, the factors that affect the price may include area, number of bedrooms, number of floors, and ag

Hello everyone, I am mac Jiang, today and everyone to share the coursera-ntu-machine learning Cornerstone (Machines learning foundations)-Job four q13-20 MATLAB implementation. The previous code was implemented through C + +, but found that C + + implementation of the code is too cumbersome, the job also to change the

Hello everyone, I am mac Jiang, today and everyone to share the coursera-ntu-machine learning Cornerstone (Machines learning foundations)-Job four q13-20 MATLAB implementation.Once the code is implemented through C + +. However, it is too cumbersome to discover that C + + implements this code. This job also need to cha

Transferred from: http://www.csdn.net/article/2015-10-16/2825925First of all, let me start with my intentions . Machine learning system now much more red NB this thing I don't have to repeat. But because of the particularity of machine learning system, it is not easy to build a reliable and useful system. Every time I

Machine learning LanguageWhat are the common programming languages for machine learning?Machine Learning (machines learning, ML) is a multidisciplinary interdisciplinary subject involvi

://developers.google.com/edu/python/?hl=zh-CNcsw=1 This is a two-day short-term training course (two full days, of course), probably seven videos, each of which is followed by a programming assignment that can be completed within one hours of each job. This is my second class to learn Python (the first one is Codecademy python, very early to see, a lot of content

generalization error;Easy to explain;Low computational complexity;Disadvantages:It is sensitive to the selection of parameters and kernel functions;The original SVM is only better at dealing with two classification problems;Boosting:Mainly take AdaBoost as an example, first look at the flow chart of AdaBoost, as follows:As you can see, we need to train several weak classifiers during training (3 in the figure), each weak classifier is trained by a sample of different weights (5 training samples

After being confused by Hot Spot's messy and changing parameters, I decided to change things for fun. Then we found the machine learning video on Coursera. Reading a few paragraphs is quite simple, so I recorded them in itouch and checked them out from time to time. The day before yesterday, I finally finished eating it. The content is really easy to understand.

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

Zero basic learning Python (1) Python environment installation, basic learning python Environment Any advanced language requires a programming environment of its own. This is like writing. It requires paper and pen, writing on a computer, and text processing software, for ex