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This article has compiled some frameworks, libraries, and software (sorted by programming language) in the machine learning fi
This article has compiled some frameworks, libraries, and software (sorted by programming language) in the machine learning field ).C ++ Computer Vision
CCV-Machine Vision Library Based on C Language/provided Cache/core, novel machine vision Library
Opencv-it provides C ++, C, P
Https://github.com/josephmisiti/awesome-machine-learning#julia-nlp
Julia
General-purpose Machine Learning
Machinelearning-julia Machine Learning LibraryMlbase-a set of functions to support development of
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
Machine Learning 4, machine learning
Probability-based classification method: Naive BayesBayesian decision theory
Naive Bayes is a part of Bayesian decision-making theory. Therefore, before explaining Naive Bayes, let's take a quick look at Bayesian decision-making theory knowledge.
The core idea of Bayesian decision-m
Which programming language should I choose for machine learning ?, Machine Programming Language
Which programming language should developers learn to get jobs like machine learning or data science?
This is a very important issue. We have discussed this issue in many forums.
Customer Churn
"Loss rate" is a business term that describes the customer's departure or stop payment of a product or service rate. This is a key figure in many organizations, as it is usually more expensive to get new customers than to retain the existing costs (in some cases, 5 to 20 times times the cost).
Therefore, it is invaluable to understand that it is valuable to maintain customer engagement because it is a reasonable basis for developing retention policies and implementing operational
Simple testing and use of PHP Machine Learning Library php-ml, php machine library php-ml
Php-ml is a machine learning library written in PHP. Although we know that python or C ++ provides more
We have developed a false news detector using machine learning and natural language processing, which has an accuracy rate of more than 95% on the validation set. In the real world, the accuracy rate should be lower than 95%, especially with the passage of time, the way the creation of false news will change.
Because of the rapid development of natural language processing and
a machine learning course at Stanford University. Take more course notes, complete course assignments as much as possible, and ask more questions.
Read some books: This refers not to textbooks, but to the books listed above for beginners of programmers.
Master a tool: Learn to use an analysis tool or class library, such as the python
Experimental purposes
Recently intend to systematically start learning machine learning, bought a few books, but also find a lot of practicing things, this series is a record of their learning process, from the most basic KNN algorithm began; experiment Introduction
Language: Pytho
ContentA simple overview of machine learningThe main task of machine learningLearning the causes of machine learningThe advantages of the Python languagemachine learning allows us to inspired by the data set, in other words, we use computers to demonstrate the true meaning
Definition of successive descent method:
For a given set of equations, use the formula:where k is the number of iterations (k=0,1,2,... )The method of finding approximate solution by stepwise generation is called iterative method
If it exists (recorded as), it is said that this iterative method converges, obviously is the solution of the equations, otherwise called this iterative method divergence.
Study the convergence of {}. Introducing Error Vectors:Get:Recursion gets:To inve
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
Deep Learning SpecializationWunda recently launched a series of courses on deep learning in Coursera with Deeplearning.ai, which is more practical compared to the previous machine learning course. The operating language also has MATLAB changed to Python to be more fit to the
://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
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.
Mono, Silverlight 5, Windows Phone on Windows, Linux, and Macs /SL 8, Windows Phone 8.1, and Windows 8 with PCL portable Profiles 47 and 344, with Xamarin Android/iosSho-sho is an interactive environment for data analysis and scientific computing that allows you to seamlessly connect scripts (IronPython language) and compiled code (. NET) to create prototypes quickly and flexibly, including powerful and efficient libraries such as linear algebra, data visualization, and so on. NET language, and
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
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