coursera learning how to learn reddit

The course covers technology:Gradient descent, linear regression, supervised/unsupervised learning, classification/logistic regression, regularization, neural network, gradient test/numerical calculation, model selection/diagnosis, learning curve, evaluation metric, SVM, K-means clustering, PCA, Map Reduce Data Parallelism, etc...The course covers applications:Message classification, tumor diagnosis, handw

Https://www.coursera.org/learn/machine-learning/exam/dbM1J/octave-matlab-tutorial Octave Tutorial 5 questions 1.Suppose I first execute the following Octave commands: A = [1 2; 3 4; 5 6]; B = [1 2 3; 4 5 6]; Which of the following is then valid Octave commands? Check all, apply and assume all options is written in an Octave command. (HINT:A ' denotes the transpose of A.)

IntroductionThe Machine learning section records Some of the notes I've learned about the learning process, including linear regression, logistic regression, Softmax regression, neural networks, and SVM, and the main learning data from Standford Andrew Ms Ng's tutorials in Coursera and online courses such as UFLDL Tuto

This series is a personal learning note for Andrew Ng Machine Learning course for Coursera website (for reference only)Course URL: https://www.coursera.org/learn/machine-learning Exercise 7--k-means and PCA Download coursera-Wunda

Before the machine learning is very interested in the holiday cannot to see Coursera machine learning all the courses, collated notes in order to experience repeatedly.I. Introduction (Week 1)-What's machine learningThere is no unanimous answer to the definition of machine learning.Arthur Samuel (1959) gives a definition of machine learning:Machine

9 Anomaly Detection9.1 Density Estimation9.1.1 Problem MotivationAnomaly detection (Density estimation) is a common application of machine learning and is mainly used for unsupervised learning, but in some ways it is similar to supervised learning.The most common application of anomaly detection is fraud detection and in the industrial production field.In particular, the industrial production of aircraft en

points of mini project are translated, Then translate the Mini project implementation steps, not a one-time full translation, take too long, the previous translation may forget, and the translation may not be accurate, and sometimes to see the original text. Complete a paragraph and translate the next paragraph, step by step. Do not translate all, some do not help to complete the task can not translate, save time. 4. Selective translation of code clinic,5. If you get stuck, search for keywords

use of MATLAB. *.4.gradientdescent.mfunction [Theta, j_history] =gradientdescent (X, y, theta, Alpha, num_iters)%gradientdescent performs gradient descent to learn theta% theta = gradientdescent (X, y, theta, Alpha, num_iters) up Dates theta by% taking num_iters gradient steps with learning rate alpha% Initialize Some useful valuesm= Length (y);%Number of training examplesj_history= Zeros (Num_iters,1); f

Add by Zhj: The most important thing to improve your level at work is the ability to learn quickly. This article is to explore this problem, mastered the fast learning ability of the law, you naturally have a rapid learning ability.Original: Learning how to learn study notes

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 parameter values frequently, so choose to use

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 change the number of participants frequently, so

://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 are not remembered), then watch video + programming One hours a day, six days to finish,

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 answers, so I would like to do their own questions