(floatval($u_sec) + floatval($sec));}$start_time = microtime_float();//do somethingusleep(100);$end_time = microtime_float();$total_time = $end_time - $start_time;$time_cost = sprintf("%.10f", $total_time);echo "program cost total " . $time_cost . "s\n";
The above is all the content of this article for your reference and hope to help you learn it.
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empirical science.
A few days ago, Coursera launched a series of special courses, one of which is the Data Science series offered by the Bloomberg School of Public Health at the prestigious free open course website. Marvel at the fact that foreigners share the best education in the world, I don't even know why many experts and professors in China refuse to share their lectures with the students (I believe everyone has heard the lectures and asked for
method. p (x | Y) is the likelihood function, P (Y | X) is the posterior probability. In fact, the maximum likelihood function is a common method. If we maximize the likelihood function of Y in the linear regression, we will also obtain the quadratic loss function ).
Since the output variable Y of Logistic regression is only 0 or 1, it is widely used in two categories of classification problems. If y = 1 ~ K, you can solve the k class classification problem, that is, the softmax algorithm to be
learned a lot from them.
Well, that's all. I hope I can become an orthodox programmer one day!
For more information about learning and self-cultivation, I would like to share some of my favorite websites.
0: Another masterpiece of GitHub Linus, a real programmer's house!
1. Quora's best foreign Q A community
2. zhihu's best Chinese Q A community
3. Tiger sniffers a very cool new technology media
4 pingwest fresh tech media
5. Ruan Yifeng's attitude towards network logs.
6. NetEase Open Cours
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 useful for students who want to learn programming. The teaching environment is fedora, which introduces the use of some common tools.Course outline
This course will let students know what happened when the software was running and explain the problem through several layers of a
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 States does not change before and after the allocation
Mainly from the Coursera course "functional programming Principles in Scala"by Professor Martin Odersky, the inventor of the Scala language.
3. Data and Abstraction3.1 Class hierarchiesThis set of subtitles is out -,- of sync, listening to a little effort!The concept of a class is similar to that of other languages, such as base class, subclass, and parent class. In Scala, all user-defined classes are subclasses of another class, and if th
Statement
Prior to listening to the compression perception and sparse representation, in fact, the first two days before formally started to understand, purely novice, if there are errors, please point out the common progress.
The main learning materials are Coursera open classes at Duke University--image and video processing, by Pro.guillermo Sapiro the 9th lesson.
Because of the understanding of image processing also comes from the
Statement
Although before listening to the compression perception and sparse expression, in fact, yesterday only formally started to understand, purely novice, if there are errors, please point out the common progress.
The main learning materials are Coursera open classes at Duke University--image and video processing, by Pro.guillermo Sapiro the 9th lesson.
Because of the understanding of image processing also comes from the course,
C and C + +
Java
Matlab
Coursera on the MATLAB Open class.
Python
NumPyNumPy Tutorial: page contains numpy other resources, relatively comprehensive can enter the page and click to view
TheanoTheano Home: http://deeplearning.net/software/theano/includes tutorials, documentation, community, etc. related to TheanoColin Raffel tutorial on Theano A relatively simple introductory tutorialA relatively comprehensive offic
0 Description of this week's projectThis time the blog is Coursera's Iipp course the third week of the mini-project implementation, the basic requirement is to do a stopwatch, can start can stop reset, the higher the requirement is on the basis of this stopwatch to complete two small games, but in view of the two games are all involved in the " Press one of the keys of the keyboard the frame will react immediately ", and this step how to implement the course has not been said, so this blog for t
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 4.0.3, but still choose stable, this should be 4.0.2$ sudo apt-add-repository ppa:octave/stab
Bengio, LeCun, Jordan, Hinton, Schmidhuber, Ng, de Freitas and OpenAI had done Reddit AMA's. These is nice places-to-start to get a zeitgeist of the field.Hinton and Ng lectures at Coursera, UFLDL, cs224d and cs231n at Stanford, the deep learning course at udacity, and the sum Mer School at IPAM has excellent tutorials, video lectures and programming exercises that should help you get STARTED.NB Sp The online book by Nielsen, notes for cs231n, and blo
Learn how to learnIn the "How to learn" this point, has always felt that they do not good enough, once wanted to learn the guitar, insisted on the two weeks to "finger too short, not suitable" end, and then want to learn mathematics, but eventually even opened the courage of the book did not, work a busy is to attend to these. So on Youtube to see Barbara Oakley learning how to learn, only to find their learning problems, a lot of harvest. If interested, it is recommended to watch the video dire
papers he didn't understand. He wears the same blue Oxford shirt every day. He was both shy and proud when his colleague brought up his lovely robot-themed engagement photo with his current wife. His wife is a surgical robot expert Carol Reiley. (Pay attention to his blue shirt in the photo!) )He has a softer voice than anyone, but that doesn't prevent him from becoming a popular orator. In 2011, when he hooked up his Stanford University machine learning video to the Internet, 100,000 people en
) {queue.offer (L); } } } } if(Res.length ()! =indegree.size ()) { return""; } returnres.tostring (); }}Off Topic:The food is too rich these days. Friday BCD Tofu, Saturday Liu Hotpot (renamed), Sunday went to flushing to eat the old sheep Hall, the result is slack. But it's also good to have fun with our little friends and relax. The decoration of the house is nearing the end, and tomorrow Monday is expected to be finishe
slowly; conversely, if it is too large, the algorithm may miss the minimum value, or even not converge. Another thing to note is that, above $\theta_0, \theta_1$ 's update formula uses all the data in the dataset (called "Batch" Gradient descent), which means that for every update, we have to scan the entire data set, Causes the update to be too slow.Review of linear algebra
Matrix and Vector definitions
Matrix addition and multiplication
Matrix-Vector Product
Matrix-matrix
basically recommend II possible directions: (1) SVM ' s, or (2) Tree ensembles. If I knew nothing on your problem, I would definitely go for (2), but I'll start with describing why SVM ' s might is S Omething worth considering.Support Vector Machines Support Vectors machines (SVMs) use a different loss function (Hinge) from LR. They is also interpreted differently (maximum-margin). However, in practice, an SVM with a linear kernel was not very different from a Logistic Regression (If You are cu
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
explained above for the logistic is from the short tutorial of Coursera, because it is a short tutorial, so Professor Andrew did not make a detailed formula deduction proof, want to watch the small partners can go to NetEase Open class to find detailed tutorials and deduction. I have taken the time to see the details of Andrew's course below to derive the specific derivation and origin of the cost function of the logistic.First of all our hypothesis
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