ai learning algorithms

: Network Disk DownloadContent Introduction······How far has the algorithm affected our lives?Shopping site using algorithms to recommend products for you, review website using algorithms to help you choose restaurants, GPS system with algorithms to help you choose the best route, the company used algorithms to select

[Ai refining] machine learning 051-bag of Vision Model + extreme random forest to build an image classifier (Python library and version number used in this article: Python 3.6, numpy 1.14, scikit-learn 0.19, matplotlib 2.2) Bag of visual words (bovw) comes from bag of words (BOW) in natural language processing, for more information, see my blog [ai refining] mach

Transfer from Forum http://www.ieee.org.cn/dispbbs.asp? Boardid = 62 replyid = 31567 id = 29962 star = 1 Skin = 0The author seems to be Miss Zhou Zhihua from the Southern University.Several AI conferences I know (first-class)The following parts are listed in alphabetical order:Ijcai (1 +): the best comprehensive meeting of AI. It will be held every two years starting in 1969 and will be held every odd y

I recently started to learn about machine learning and found that this comprehensive article has been cited and recommended many times. The landlord is eager to understand English. He feels that translation into something he is familiar with looks more comfortable. The translation is rough and has not been proofread repeatedly. In general, it should be okay, but I still don't know much about the specific professional vocabulary, and Google does not ha

From cheating to machine learning--the general situation of soccer AI Author: ALEXJC Translator: Rai Yonghao (Love flower Butterfly) Original address: Http://aigamedev.com/questions/football-ai-cheating-machine-learning This article is published in The Flower Butterfly Blog (http://blog.csdn.net/lanphaday), if repr

little use.####################### #小 ********** Knot ###############################1, here is simply a hmm model to analyze the stock data examples, although the practical value is not small, but can give other complex algorithms to provide a little thought.2, or that sentence, away from the stock market, away from harm.#################################################################Note: This section of the code has been uploaded to ( my GitHub),

[Deep Learning] Implementing a game-based AI, starting with wuziqi (2) Well, today we are going to start playing wuziqi and start talking to our friends about AI. Last night we had implemented a logical part of wuziqi. In fact, there is a rule in which AI can be started, but it is not intuitive enough, we recommend th

This paper describes how to apply the deep learning-based target detection algorithm to the specific project development, which embodies the value of deep learning technology in actual production, and is considered as a landing realization of AI algorithm. The algorithms section of this article can be found in the prev

AI (AI) opens up a whole new possibility for application developers. By leveraging machine learning or deep learning, you can build better user profiles, personalize and recommend them, or integrate smarter search, voice, or smart assistants, or improve your app in several other ways. You can even build applications th

[Deep Learning] Implementing a game-based AI, starting with wuziqi (1) I haven't written a blog for a long time. How long has it taken, about 8 years ??? I recently picked up writing again ...... Recently, I 've been tossing AI and writing an AI-related question to my team's friends. After so many years of machine

Like the design industry, in the study of some software, now in the study of AI these days according to some photos do the icon and draw the graphics, hoping to get guidance.Through a few days to learn that the AI in the processing of the logo is really powerful, with PS can not be compared to the effect of the AI made icons, logos and other amplification will no

purchases, and 12 for the total number of units. According to the formula of information entropy we can conclude that the information entropy of this data set is:Divided by lot (denoted by A1), Tri-Ring (D1), five-ring (D2), six-ring (D3), to calculate information gainBy whether near the Metro (denoted by A2), is (D1), no (D2), to calculate the information gaindivided by area (denoted by A3), 60 ping (D1), 80 ping (D2), to calculate information gainDivided by unit Price (expressed in A4), 5w (D

"1" in AI, each object has two properties: fill color and stroke color. "2" in AI, do not want to select, only action.In PS, you can select a layer.In the "3" AI, it is the path.The "4" selection tool selects the entire path, while the direct selection tool is selected, some of which anchor points. "5" Group selection tool, is the PS link.Together in the selectio

decision on one input is Muti-task learning, and the other is learning a classifier for each category. When the sample data of each class is small, it is wiser to adopt muti-task learning, so that the characteristics of the image can be learned better, and when the sample data of each class is large, the multi-classification model can be used, so the accuracy of

"Furnace-smelting AI" machine learning 019-Project case: Estimating traffic flow using the SVM regression(Python libraries and version numbers used in this article: Python 3.5, Numpy 1.14, Scikit-learn 0.19, matplotlib 2.2)As we all know, SVM is a good classifier, not only for linear classification models, but also for non-linear models, but on the other hand, SVM can be used not only to solve classificatio

; Images related to this topicOK, the SVG code is quite understandable and well mastered. However, if you use code to manually write complicated images, it will vomit blood, so our goal is to understand it, then, use AI to create images and manually optimize the generated code.Use AI to create several basic images:Images related to this topicThe generated code 15.3kb is also messy when open

Tag: is the upload function--data set strong LIB new 1.5"Stove-refining AI" machine learning 016-How to know the confidence level of the SVM model output category(Python libraries and version numbers used in this article: Python 3.5, Numpy 1.14, Scikit-learn 0.19, matplotlib 2.2)In general, for unknown samples, we predict by the model belong to a certain category, often give the probability of this category

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"Furnace-Refining AI" machine learning 046-image edge detection method(Python libraries and version numbers used in this article: Python 3.6, Numpy 1.14, Scikit-learn 0.19, matplotlib 2.2)Image in the detection of various shapes in the field of computer vision is one of the most common technology, especially in the image of straight line detection, round detection, Image edge detection, and so on, let us lo

"Stove-refining AI" machine learning 036-NLP-word reduction-(Python libraries and version numbers used in this article: Python 3.6, Numpy 1.14, Scikit-learn 0.19, matplotlib 2.2, NLTK 3.3)Word reduction is also the words converted to the original appearance, and the previous article described in the stem extraction is not the same, word reduction is more difficult, it is a more structured approach, in the p