best machine learning conferences

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 year. because AI is too big, although each ses

Recently asked to pay attention to the visual attention of the "hot Research direction", "the latest method" and so on. Boss suggests Cnki, EI, or sci journals. I'm a little puzzled, why not go to the papers at the top conference?In the field of machine learning, computer vision and artificial intelligence, top-level conferences are the way to feel. Some people w

[Seven steps for Embedded Linux learning] series of conferences Sailor_forever sailing_9806 # 163.com (This original article is published on sailor_forever's personal blog and cannot be used for commercial purposes without my permission. No individual, media, or other websites may copy files without permission. For online media reprinting, please indicate the source and add the original text link. Otherwis

This column (Machine learning) includes single parameter linear regression, multiple parameter linear regression, Octave Tutorial, Logistic regression, regularization, neural network, machine learning system design, SVM (Support vector machines Support vector machine), clust

[Introduction to machine learning] Li Hongyi Machine Learning notes-9 ("Hello World" of deep learning; exploring deep learning) PDF Video Keras Example application-handwriting Digit recognition Step 1

Objective:When looking for a job (IT industry), in addition to the common software development, machine learning positions can also be regarded as a choice, many computer graduate students will contact this, if your research direction is machine learning/data mining and so on, and it is very interested in, you can cons

IntroductionThe systematic learning machine learning course has benefited me a lot, and I think it is necessary to understand some basic problems, such as the category of machine learning algorithms.Why do you say that? I admit that, as a beginner, may not be in the early st

This column (Machine learning) includes single parameter linear regression, multiple parameter linear regression, Octave Tutorial, Logistic regression, regularization, neural network, machine learning system design, SVM (Support vector machines Support vector machine), clust

What is machine learning?"Machine learning" is one of the core research fields of artificial intelligence, its initial research motive is to let the computer system have human learning ability to realize artificial intelligence.In fact, since "experience" is mainly in the fo

Preface: "The foundation determines the height, not the height of the foundation!" The book mainly from the coding program, data structure, mathematical theory, data processing and visualization of several aspects of the theory of machine learning, and then extended to the probability theory, numerical analysis, matrix analysis and other knowledge to guide us into the world of

sixth week. Design of learning curve and machine learning system Learning Curve and machine learning System Design Key Words Learning curve, deviation variance diagnosis method, error a

In machine learning-Hangyuan Li-The Perceptual Machine for learning notes (1) We already know the modeling of perceptron and its geometrical meaning. The relevant derivation is also explicitly deduced. Have a mathematical model. We are going to calculate the model.The purpose of perceptual

Today I saw in this article how to choose the model, feel very good, write here alone.More machine learning combat can read this article: http://www.cnblogs.com/charlesblc/p/6159187.htmlIn addition to the difference between machine learning and data mining,Refer to this article: https://www.zhihu.com/question/30557267D

Learning notes for "Machine Learning Practice": Implementation of k-Nearest Neighbor algorithms, and "Machine Learning Practice" k- The main learning and research tasks of the last semester were pattern recognition, signal theor

Machine learning and its application 2013 content introduction BooksComputer BooksMachine learning is a very important area of research in computer science and artificial intelligence. In recent years, machine learning has not only been a great skill in many fields of comput

Objective Machine learning is divided into: supervised learning, unsupervised learning, semi-supervised learning (can also be used Hinton said reinforcement learning) and so on. Here, the main understanding of supervision and unsu

Original: Image classification in 5 Methodshttps://medium.com/towards-data-science/image-classification-in-5-methods-83742aeb3645 Image classification, as the name suggests, is an input image, output to the image content classification of the problem. It is the core of computer vision, which is widely used in practice. The traditional method of image classification is feature description and detection, such traditional methods may be effective for some simple image classification, but the tradit

Learning notes for "Machine Learning Practice": two application scenarios of k-Nearest Neighbor algorithms, and "Machine Learning Practice" k- After learning the implementation of the k-Nearest Neighbor Algorithm, I tested the k-

This column (Machine learning) includes single parameter linear regression, multiple parameter linear regression, Octave Tutorial, Logistic regression, regularization, neural network, machine learning system design, SVM (Support vector machines Support vector machine), clust