At present, the application of machine learning business is more in communication and finance. Large data, machine learning these concepts have been popularized in recent years, but many researchers have worked in this field more than 10 years earlier. Now finally ushered in their own tuyere. I will use the professiona
-level book. Although I only have a few eyes, it still feels good.No, no. It is absolutely not necessary to learn the C language first.
The Python syntax is so simple that you can learn it directly.
You can also learn Ruby directly. If you really want to "learn first" something, learn Smalltalk and Lisp. C and Pascal are relatively classic teaching languages, but there is no rule that you must first learn them. I know many friends who only use Python
Stanford University machine Learning lesson 10 "Neural Networks: Learning" study notes. This course consists of seven parts:
1) Deciding what to try next (decide what to do next)
2) Evaluating a hypothesis (Evaluation hypothesis)
3) Model selection and training/validation/test sets (Model selection and training/verification/test Set)
4) Diagnosing bias vs. varian
Some websites collected by Ruby on Rails during this time. I personally feel good. If you are interested, please check them out.
Infoq
Codebetter
Napcsweb
Riding
Rails
Rubyonrails
Taoxi technology Diary
Rails framework technology lecture
Learning
Ruby
A free, web-based course in
Complaints when learning Ruby
I accidentally started to learn Ruby. After a New Year's Day, I learned Ruby for two years (in fact, just a few days ).
In general, it is a bit rejected because it does not feel good.
I learned a little about VB before. I didn't expect Ruby t
learning in Hadoop that you can learn by yourself. If you are a novice in machine learning and big data learning, stick to learning Weka and learn a library wholeheartedly.
Scikit Learn: This is a machine
Original: http://blog.csdn.net/abcjennifer/article/details/7797502This column (machine learning) includes linear regression with single parameters, linear regression with multiple parameters, Octave Tutorial, Logistic Regression, regularization, neural network, design of the computer learning system, SVM (Support vector machines), clustering, dimensionality reduc
What are two models?
We have come to these two concepts from a few words:1, machine learning is divided into supervised machine learning and unsupervised machine learning;2, supervised machine
Machine learning is a comprehensive and applied discipline that can be used to solve problems in various fields such as computer vision/biology/robotics and everyday languages, as a result of research on artificial intelligence, and machine learning is designed to enable computers to have the ability to learn as humans
7 machine learning System Design
Content
7 Machine Learning System Design
7.1 Prioritizing
7.2 Error Analysis
7.3 Error Metrics for skewed classed
7.3.1 Precision/recall
7.3.2 Trading off precision and RECALL:F1 score
7.4 Data for machine
Source: From Machine learningThis paper first introduces the trend of Internet community and machine learning Daniel, and the application of machine learning, then introduces the machine learn
Code blocks are more or less exposed in other languages, such as Perl sort{$a In the process of learning Ruby, the understanding of code blocks is a step further, not only simplifying the functionality of the code, but also involving scopes, callable objects and other knowledge.code blockCode blocks are defined in curly braces or do...end keywords, and when a block is passed to a method, it can be recalled
middle because alias is a keyword and not a method (where is the keyword in the structure, and what is the difference between the method)? )。 When a new name is called, the original method is called when the alias is added. The method that is named after the alias is redefined, then the alias method refers to the original method, according to this feature, you can implement the technique of wrapping aliases:Class MyClass? ? Alias:real_length:length? ? def length? ? ? ? Real_length > 5? ' Long '
As an article of the College (http://xxwenda.com/article/584), the follow-up preparation is to be tested individually. Of course, there have been many tests.
Apache Spark itself1.MLlibAmplabSpark was originally born in the Berkeley Amplab Laboratory and is still a Amplab project, though not in the Apache Spark Foundation, but still has a considerable place in your daily GitHub program.ML BaseThe mllib of the spark itself is at the bottom of the three-layer ML base, MLI is in the middle layer, a
3 Types of Learning3.1 Learning with Different Output Space YThe method of machine learning is categorized from the angle of the output spatial type.1. Two-dollar classification (binary classification): The output label is discrete, two-class.2. Multivariate classification (Multiclass classification): The output label is discrete, multi-class. The dualistic class
MATLAB machine learning did not see what tutorial, only a series of functions, had to record:Matlab Each machine learning method is implemented in many ways, and can be advanced configuration (such as the training decision tree when the various parameters set), here due to space limitations, no longer described in deta
Learning plan diagram of actual Java Virtual Machine (Understand Java Virtual Machine), Java Virtual Machine
I don't want to talk about it anymore. I am actually using a Java virtual machine. I have to study hard and get started every day! Develop a
WEEK1:Machine learning:
A computer program was said to learn from experience E with respect to some class of tasks T and performance measure P, if Its performance on tasks in T, as measured by P, improves with experience E.
Supervised learning:we already know what we correct output should look like.
Regression:try to map input variables to some continuous function.
"Machine learning" Matlab 2015a self-machine learning algorithm RollupAuthor: Chen Fa St.
"Introduction"Today suddenly found that the version of matlab2015a with a lot of classical machine learning methods, simple and easy to use,
Reply content:Functional-koans/clojure-koans GitHub
Matyb/java-koans GitHub
Gregmalcolm/python_koans GitHub
Neo/ruby_koans GitHub
This tutorial is almost all-star in all major languages. This set of tutorials is similar.
Learn language in TDD mode. There are no books, the first is Ruby first out. The efficiency of self-clojure is the highest. Will not be like Java that the re-enlightened, every trip to WC is not good. That's stop! Heart. REPL is c
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